Course-Data Science_generic
•
0 likes•228 views
This document outlines a data science course containing 9 topics: introduction, analytics using Excel, statistics, Python & visualization, SQL, Power BI, machine learning, and deep learning. The introduction covers problem solving approaches and machine learning philosophy. Analytics using Excel includes formulas, functions, and linear regression. Statistics encompasses data types, distributions, correlation, and 4 mini projects. Python covers basics, collections, functions, classes, NumPy, CSV/text files, and 2 Python projects. Data visualization includes storytelling, SciPy, Pandas, Matplotlib, and web scraping. SQL teaches database objects, queries, and functions. Machine learning covers regression, classification, clustering, and association/market basket analysis with 12 projects. Deep learning introduces AN
Report
Share
Report
Share
Download to read offline
Recommended
Course-Data Science_2023_1
This document outlines the topics covered in a data science course, including introduction to data science, analytics using Excel and statistics, Python programming and visualization, SQL, machine learning, and deep learning. The course covers core data science concepts like linear regression, probability distributions, data visualization with Matplotlib and Pandas, SQL, machine learning algorithms for regression, classification and clustering. It includes over 20 mini projects and full projects for students to apply the concepts learned.
Topics you need to learn to master Data Science
This document outlines the topics covered in a data science course, including introduction to data science, analytics using Excel and Python, statistics, machine learning, SQL, and deep learning. The course covers core data science concepts like data visualization, data wrangling, predictive modeling, and deep learning. It includes over 20 hands-on mini projects and full projects to help students apply the concepts and gain experience with tools like Excel, Python, Power BI, and machine learning algorithms. Students can take this online course through www.questlearning.in and receive support for their project work and resume building.
Mastering in Data Science 3RITPL-1 (1).pdf
This document provides information about a Mastering in Data Science training program powered by 3RI Technologies. It offers advanced industry-oriented courses in data science, machine learning, and Python taught by experienced faculty. The curriculum is designed by industry experts and includes real-world projects and case studies. The training aims to help professionals develop hands-on skills and become technically proficient through teaching assistance and support.
313 IDS _Course_Introduction_PPT.pptx
This document provides information for the course "Introduction to Data Science" (ITEC-313) at Jazan University. The course is a required 3 credit hour course consisting of 2 hours of theory and 2 hours of lab per week. The course objectives are to describe data science and the needed skill sets, understand the data science process and how its components interact, carry out basic statistical modeling and analysis, and apply the data science process in a case study. Topics covered include data collection/integration, exploratory data analysis, predictive/descriptive modeling, and effective communication. The course aims to equip students with basic data science principles, concepts, techniques and tools. It will be assessed through assignments, exams, quizzes
Topics to master for Data analytics
The document outlines a data analytics syllabus that includes:
- 55 hours of coaching and hands-on training in topics like Python programming, SQL database programming, data visualization using Python, Power BI, and Tableau.
- Students will learn skills like Python basics, descriptive statistics, data visualization with Matplotlib and Seaborn, SQL joins and operations, and building dashboards in Power BI. They will complete mini projects and full projects to practice these skills.
Best practices of a Python developers (2).pdf
In a data-driven world, Python is your passport to unlocking the vast potential of data science. Whether you are a novice or an experienced coder, Python’s versatility and the insights offered by data science are worth exploring. By enrolling in a Python course, you are not just learning a programming language; you are opening doors to a world of opportunities and becoming an integral part of the data-driven revolution.
M.Sc_Syllabus
The document provides details about the Master of Science program in Mathematics and Scientific Computing at Motilal Nehru National Institute of Technology in Allahabad, India. It outlines the program structure over four semesters, including required and elective courses in areas like programming, analysis, algebra, numerical methods, and modeling. Course credits and class schedules are specified. The program aims to equip students with skills in mathematics, computing, and their applications to science and engineering problems.
Lesson1-Intro-to-Quantitative-Method.pptx
This document provides an overview and introduction to quantitative methods. It discusses key concepts in algebra, calculus, statistics, and Python programming. Various quantitative analysis techniques are explained, including descriptive statistics, hypothesis testing, and data visualization. The course covers manipulating and analyzing data with Python libraries like NumPy, pandas, and Matplotlib. The goal is to equip students with essential quantitative skills and encourage practicing these skills by exploring datasets and creating their own analyses. Additional learning resources are recommended for continuing education in quantitative methods.
Recommended
Course-Data Science_2023_1
This document outlines the topics covered in a data science course, including introduction to data science, analytics using Excel and statistics, Python programming and visualization, SQL, machine learning, and deep learning. The course covers core data science concepts like linear regression, probability distributions, data visualization with Matplotlib and Pandas, SQL, machine learning algorithms for regression, classification and clustering. It includes over 20 mini projects and full projects for students to apply the concepts learned.
Topics you need to learn to master Data Science
This document outlines the topics covered in a data science course, including introduction to data science, analytics using Excel and Python, statistics, machine learning, SQL, and deep learning. The course covers core data science concepts like data visualization, data wrangling, predictive modeling, and deep learning. It includes over 20 hands-on mini projects and full projects to help students apply the concepts and gain experience with tools like Excel, Python, Power BI, and machine learning algorithms. Students can take this online course through www.questlearning.in and receive support for their project work and resume building.
Mastering in Data Science 3RITPL-1 (1).pdf
This document provides information about a Mastering in Data Science training program powered by 3RI Technologies. It offers advanced industry-oriented courses in data science, machine learning, and Python taught by experienced faculty. The curriculum is designed by industry experts and includes real-world projects and case studies. The training aims to help professionals develop hands-on skills and become technically proficient through teaching assistance and support.
313 IDS _Course_Introduction_PPT.pptx
This document provides information for the course "Introduction to Data Science" (ITEC-313) at Jazan University. The course is a required 3 credit hour course consisting of 2 hours of theory and 2 hours of lab per week. The course objectives are to describe data science and the needed skill sets, understand the data science process and how its components interact, carry out basic statistical modeling and analysis, and apply the data science process in a case study. Topics covered include data collection/integration, exploratory data analysis, predictive/descriptive modeling, and effective communication. The course aims to equip students with basic data science principles, concepts, techniques and tools. It will be assessed through assignments, exams, quizzes
Topics to master for Data analytics
The document outlines a data analytics syllabus that includes:
- 55 hours of coaching and hands-on training in topics like Python programming, SQL database programming, data visualization using Python, Power BI, and Tableau.
- Students will learn skills like Python basics, descriptive statistics, data visualization with Matplotlib and Seaborn, SQL joins and operations, and building dashboards in Power BI. They will complete mini projects and full projects to practice these skills.
Best practices of a Python developers (2).pdf
In a data-driven world, Python is your passport to unlocking the vast potential of data science. Whether you are a novice or an experienced coder, Python’s versatility and the insights offered by data science are worth exploring. By enrolling in a Python course, you are not just learning a programming language; you are opening doors to a world of opportunities and becoming an integral part of the data-driven revolution.
M.Sc_Syllabus
The document provides details about the Master of Science program in Mathematics and Scientific Computing at Motilal Nehru National Institute of Technology in Allahabad, India. It outlines the program structure over four semesters, including required and elective courses in areas like programming, analysis, algebra, numerical methods, and modeling. Course credits and class schedules are specified. The program aims to equip students with skills in mathematics, computing, and their applications to science and engineering problems.
Lesson1-Intro-to-Quantitative-Method.pptx
This document provides an overview and introduction to quantitative methods. It discusses key concepts in algebra, calculus, statistics, and Python programming. Various quantitative analysis techniques are explained, including descriptive statistics, hypothesis testing, and data visualization. The course covers manipulating and analyzing data with Python libraries like NumPy, pandas, and Matplotlib. The goal is to equip students with essential quantitative skills and encourage practicing these skills by exploring datasets and creating their own analyses. Additional learning resources are recommended for continuing education in quantitative methods.
Applications of Multivariate Techniques to Measure Content Structure with Mu...
NCME 2018 talk titled Applications of Multivariate Techniques to Measure Content Structure with Multidimensional IRT.
COVID - 19 DATA ANALYSIS USING PYTHON and Introduction to Data Science
This document contains summaries of multiple MOOCs and projects related to data science using Python. The first MOOC introduces data science concepts using Python like NumPy and Pandas libraries. The second project focuses on intermediate Pandas functions for data processing. The third guided project analyzes the relationship between COVID-19 spread and country happiness using Python libraries like Pandas and Matplotlib for data preparation, calculations, joining datasets, and visualizing results.
1st sem
This course introduces fundamental concepts of mechanics and electrodynamics. In mechanics, topics covered include Newton's laws of motion, particle dynamics, conservation laws, harmonic oscillators, and rigid body motion. In electrodynamics, the course covers electrostatics, electric fields, Gauss's law, dielectric materials, electrostatic energy, and Maxwell's equations. Students will apply these concepts through hands-on laboratory experiments complementing the theoretical content. The goal is to provide students with a foundation in key principles of physics applied to science and technology.
1st sem
This course introduces fundamental concepts of mechanics and electrodynamics. In mechanics, topics covered include Newton's laws of motion, particle dynamics, conservation laws, harmonic oscillators, and rigid body motion. In electrodynamics, the course covers electrostatics, electric fields, Gauss's law, dielectric materials, electrostatic energy, and Maxwell's equations. Students will apply these concepts through hands-on laboratory experiments complementing the theoretical content. The goal is to provide students with a foundation in key principles of physics applied to science and technology.
Python training
The Python training document outlines a 5 module course covering fundamental Python concepts. Module 1 introduces Python basics like variables, strings, and control flow. Module 2 focuses on data structures like lists, tuples, sets, and dictionaries as well as operators and math functions. Module 3 covers functions, scopes, sorting, and exception handling. Module 4 introduces object-oriented programming in Python with classes, methods, and inheritance. Module 5 teaches database operations using Python programs for create, read, update and delete functions. Students can contact the Digital Education Academy for more details on the Python course.
B sc it syit sem 3 sem 4 syllabus as per mumbai university
This document contains the syllabus for the S.Y.B.Sc. Information Technology program at the University of Mumbai for the academic year 2017-2018. It outlines the courses, course codes, credits, and topics to be covered for semesters 3 and 4. Semester 3 includes courses in Python programming, data structures, computer networks, databases, applied mathematics, and their corresponding practical courses. Semester 4 includes courses in Core Java, embedded systems, computer statistics, software engineering, computer graphics, and their practical courses.
wendi_ppt
1) The document discusses using machine learning methods like Naive Bayes classification to analyze sentiment in news data from social media sources like Twitter to enhance trading strategies.
2) It provides an example of parsing Twitter data related to the SPY ETF using NLTK and Naive Bayes, achieving 79.2% accuracy on the training set and 36.3% on the test set.
3) The document also outlines some more advanced approaches to measuring sentiment like Stanford NLP and Vader sentiment and discusses ongoing research into improving news sentiment analysis methods.
2nd sem
The document summarizes several course outlines for computer science courses. It provides details on three courses: Digital Logic, Discrete Structure, and Microprocessor. For each course it lists information like the course title, number, credit hours, nature, goals, contents which are divided into units, textbooks, and lab works. It also includes two sample course outlines for Data Structures and Algorithms and another unnamed course. The courses cover topics in digital logic, discrete math, microprocessors, data structures, algorithms and other computer science fundamentals.
2nd sem
The document summarizes several course outlines for computer science courses. It provides details on three courses: Digital Logic, Discrete Structure, and Microprocessor. For each course it lists information like the course title, number, credit hours, nature, goals, contents which are divided into units, textbooks, and lab works. It also includes two sample course outlines for Data Structures and Algorithms and another unnamed course. The courses cover topics in digital logic, discrete math, microprocessors, data structures, algorithms and other computer science fundamentals.
Building Data Scientists
Overview of a Machine Learning 11 week course I developed and trained software engineers at Dell on their way to become Data Scientists. Class is outline of Predictive Analytics methods using Python. I taught this class 8 separate occasions over 3 years.
Probability Theory and Mathematical Statistics
This document provides information about a Probability Theory and Mathematical Statistics course taught at KNITU, Russia. It includes details about the course such as the number of students, preliminary courses required, distribution of working time, topics covered in lectures and workshops/laboratories. It also compares the methodology and topics studied in this course to a similar course taught at TUT, Finland. Key differences highlighted include the use of Matlab at TUT and more emphasis on practical work/tutorials versus lectures. Overall competencies covered are also summarized and compared between the two courses based on the SEFI framework.
Python institute in Patna
CSDT IT Solution is leading Computer Programming training Institute in Patna, CSDT provides best Python programming class in patna, CSDT Python computer Programming training in patna is fully based on corporate/IT industry for job purpose. CSDT is one of the best programming institute in patna. CSDT IT Solution provides live project training on Python Programming for BCA, MCA, B.Tech students and other courses students.
http://www.csdt.co.in/Python_institute_patna.htm
pp hand out (1).doc
This document provides information about the Python Programming course offered in the third year of a B.Tech program. The course aims to teach students the basics of Python programming language including data types, operators, control structures, functions, modules, strings, regular expressions, sequences, object-oriented concepts, inheritance, exception handling, and commonly used Python libraries like NumPy and Pandas. Students will be evaluated through mid-semester exams, presentations, and a final written exam.
pp hand out (1).doc
This document provides information about the Python Programming course offered in the third year of a B.Tech program. The course aims to teach students the basics of Python programming language including data types, operators, control structures, functions, modules, strings, regular expressions, sequences, object-oriented concepts, inheritance, exception handling, and commonly used Python libraries like NumPy and Pandas. Students will be evaluated through mid-semester exams, presentations, and a final exam. The course intends to help students apply programming concepts to problem solving and analyze various data structures and object-oriented problems.
Data Analysis Course in Nagpur
BinaryCode Technologies Is A Premium Training Company Helping You With The Data Analysis Of Future Like Python, SQL, AI.
GE3151 problem solving and python programming - Syllabus
GE3151 problem solving and python programming - SyllabusFatima Michael College of Engineering and Technology
This document outlines the course objectives and units for GE3151 Problem Solving and Python Programming. The course aims to teach students algorithmic problem solving, Python programming using conditionals and loops, defining functions, and using Python data structures like lists, tuples and dictionaries. The 5 units cover computational thinking, Python data types and expressions, control flow and functions, lists and tuples, and files and modules. Upon completing the course students will be able to develop algorithmic solutions, write Python programs using conditionals and loops, decompose programs into functions, represent compound data, and read/write files in Python programs.PDS Unit - 1 Introdiction to DS.ppt
This document provides an introduction to a course on Python for Data Science. It discusses key concepts related to data, information, databases, data warehouses, big data, and data science. It outlines the course objectives, which are to train students to solve computational problems using Python and build different types of models. The syllabus covers topics like introduction to data science, NumPy, data manipulation with Python, data cleaning/preparation/visualization, and machine learning using Python. Textbooks and reference materials are also listed.
4th sem
This course teaches technical writing skills needed for a career in technology. It covers writing processes, styles, and formats for various technical documents. Key topics include organizing information, writing for different audiences, using graphics and visual elements, writing instructions, descriptions, reports, and other common technical document types. Students learn grammar and mechanics rules specific to technical writing. The goal is for students to gain proficiency in written communication skills required in technical fields.
Course outline
This course provides an introduction to data science, its applications, and the tools used. Students will learn Python, NumPy, Pandas, and scikit-learn for data analysis and machine learning. The course aims to help students understand how data science can improve emergency response, environmental impact analysis, and personalized customer services. Students will learn to find datasets, analyze data to answer research questions, and present findings. Assessment includes midterm, final exams, quizzes, assignments, and a project.
Topic 3 DQ 6 Question What have you liked so far about stat.pdf
TQWRAElSSsDuAfiBuDrPTfainiiebueesnnoinattsayeaeutmchaarcelelcap T ssyvtdedaeofattharreeliwyoeiois ps rs y c segest ori mrs r, taV s e e SstnDtwh c i fL 3 tiiaowiis srcotaiionsheaade i sz i n anyD nnh,dc.rvhltueaac i o igal talikeeeQ yar trunSyAu paenet lp stMl.dcs y tiro a nai I 6zoalPna , i Po Au a n t c taawttegtnaeuyhiadlnngeltsayox:an ti en ia i ropthlnspspufDlidnisdylkcinrosgiyunll s soioesaeds:ssnms l a : fia:Presd c i Ps ie ehnntsPha.tBp i a es iky sa c:aatoIy id nasseittnoelvTntstnhe tadiy-sha ec,oid i l:oaf netmas'eo ll a ena ulPnrlgseassoanirnca.edk i,, ytv nrwa h o i alaP eenpnt-reSssnanhsgbetd:y.rgrweit s o oosroga taTs d rath etimvnurliottssiha edeoascri l te diisetms e mslasntbcaesvei s,ss s r a a at eaovshseatiat,anonokii urr da rcstanaandlena i i besisuesbndb l s l f r lm to yasaesvd isria i ess c s a ifln , ie tonitfs ctl s eiz rhedaaavsaerugil aneeear le n i y aaeyno ibtgsa tnirrdisslo n foaeri insovP n zyieafgmnsPlsuoef, a e ynn ,dostprldltu attoevacioh aeuihbp potc rehbpeaoneromrioh-nncs la hrn dtpneoris eoe a g rntedl a , fhii t-lsn . u ebeBt eainad somt i P ssr r a tpratanalawhaeae eyerulydttraynnrt echat ileia s hzeastssiaw arn s lcoiensttftwtsntieihoghao n craiegsnlai ar en is endf mkpu ghytryt d s a ehbateps aa weha t mt eemrp ahsnaMdantfoi o a onaaar ectesuwa i r ratlynhfweuwctyl mtid lii ntapvosytsnsfo oh i dtellesiltyvncrloos l a eeiiakrsoobdons,toatn scl u liu m.igiplvfslbbn,gtso i esertllhep, ciiiitronn .abdcs-malnlSbuiecgan r nve toaeadalx.ldr u e f varaf bitaSi n u di s c eteiblisneniotlgniirkinsaaouatci m c n e y tg ltrPilht.ittiny g d mh sia etynoTs,h t a b Minteiniaeaqceostle se rnanCu,o ase u l sldeeiraunf3 anryooc sanpda scP roar r tdp l l Feo n ilmunatso nohml t ddno tmhermpaulti a weyitn uPtsroowtl rdg y i tcetygdmraaho-s e odSieSnptanrie ui s kltodaoictga ln. ssdnrfia nP? t ie s m yntl.bloyr,o iea,tewhnsey.
Top Recruitment Agencies in Pakistan - Delta International Recruitment Agency
Top Recruitment Agencies in Pakistan - Delta International Recruitment AgencyDelta International Recruitment Agency
Delta International is an ISO Certified top recruiting agency in Pakistan, recognized for its highly experienced recruiters. With a diverse range of international jobs for Pakistani workers, Delta International maintains extensive connections with overseas employers, making it one of the top 10 recruitment agencies in Pakistan. It stands out in the list of recruitment agencies in Pakistan for its exceptional services.
https://www.ditrc.com/
Known for its expertise in the Gulf region, Delta International is among the top 10 international recruitment agencies, specializing in expert headhunting and candidate sourcing. This prominence places it in the list of top 10 overseas recruitment agencies in Pakistan. As one of the best overseas recruitment agencies in Pakistan, Delta International is a trusted name for manpower recruitment, particularly from Pakistan.
The agency is not just a leading name in Karachi but also recognized as one of the best recruitment agencies in Islamabad. Delta International consistently ranks as the top recruitment agency in Pakistan, earning its reputation among the top recruiting agencies in Pakistan. It is also regarded as one of the top overseas employment agencies in Pakistan.
For those seeking foreign jobs, Delta International is listed among the top overseas employment companies in Pakistan. Their extensive network and expertise make them a go-to for anyone looking at the list of overseas employment agencies in Pakistan. As a leading foreign jobs recruitment agency in Pakistan, they offer opportunities across various sectors.
Delta International is consistently listed among the top recruitment companies in Pakistan, known for providing the best recruitment services. It’s considered one of the best recruitment agencies in Pakistan and a prominent recruitment agency in Pakistan. The company excels in international recruitment, making it a key player among international recruitment agencies in Pakistan.
Their inclusion in the list of international recruitment agencies further attests to their excellence. As a top manpower agency in Pakistan, Delta International specializes in recruiting skilled professionals and labor for various industries, including construction, healthcare, IT, engineering, and hospitality.
Delta International is a leader among recruitment agencies in Pakistan, with a particular focus on overseas employment. They are one of the foremost overseas employment agencies in Pakistan, catering to technical jobs and other employment opportunities. Their role as overseas employment promoters highlights their commitment to connecting Pakistani talent with global opportunities.
In summary, Delta International is not only one of the best recruitment agencies in Pakistan but also a distinguished name among overseas employment agencies. Their extensive network and experienced recruiters make them a top choice for anyone seeking employment both locally and internationally.欧洲杯足彩-欧洲杯足彩投注网-欧洲杯足彩投注网站|【网址🎉ac123.net🎉】
【网址🎉ac123.net🎉】欧洲杯足彩是体育博彩和在线赌场之一，得益于UKGC的三项许可。 成立之初是三名博彩公司将40家博彩商店的合并的结果，共同创建一家名为欧洲杯足彩的公司。 欧洲杯足彩在线赌场为游戏爱好者提供了300多种游戏，其中200多种老虎机，其他游戏包括二十一点，轮盘，真人荷官和真人赌场等。
More Related Content
Similar to Course-Data Science_generic
Applications of Multivariate Techniques to Measure Content Structure with Mu...
NCME 2018 talk titled Applications of Multivariate Techniques to Measure Content Structure with Multidimensional IRT.
COVID - 19 DATA ANALYSIS USING PYTHON and Introduction to Data Science
This document contains summaries of multiple MOOCs and projects related to data science using Python. The first MOOC introduces data science concepts using Python like NumPy and Pandas libraries. The second project focuses on intermediate Pandas functions for data processing. The third guided project analyzes the relationship between COVID-19 spread and country happiness using Python libraries like Pandas and Matplotlib for data preparation, calculations, joining datasets, and visualizing results.
1st sem
This course introduces fundamental concepts of mechanics and electrodynamics. In mechanics, topics covered include Newton's laws of motion, particle dynamics, conservation laws, harmonic oscillators, and rigid body motion. In electrodynamics, the course covers electrostatics, electric fields, Gauss's law, dielectric materials, electrostatic energy, and Maxwell's equations. Students will apply these concepts through hands-on laboratory experiments complementing the theoretical content. The goal is to provide students with a foundation in key principles of physics applied to science and technology.
1st sem
This course introduces fundamental concepts of mechanics and electrodynamics. In mechanics, topics covered include Newton's laws of motion, particle dynamics, conservation laws, harmonic oscillators, and rigid body motion. In electrodynamics, the course covers electrostatics, electric fields, Gauss's law, dielectric materials, electrostatic energy, and Maxwell's equations. Students will apply these concepts through hands-on laboratory experiments complementing the theoretical content. The goal is to provide students with a foundation in key principles of physics applied to science and technology.
Python training
The Python training document outlines a 5 module course covering fundamental Python concepts. Module 1 introduces Python basics like variables, strings, and control flow. Module 2 focuses on data structures like lists, tuples, sets, and dictionaries as well as operators and math functions. Module 3 covers functions, scopes, sorting, and exception handling. Module 4 introduces object-oriented programming in Python with classes, methods, and inheritance. Module 5 teaches database operations using Python programs for create, read, update and delete functions. Students can contact the Digital Education Academy for more details on the Python course.
B sc it syit sem 3 sem 4 syllabus as per mumbai university
This document contains the syllabus for the S.Y.B.Sc. Information Technology program at the University of Mumbai for the academic year 2017-2018. It outlines the courses, course codes, credits, and topics to be covered for semesters 3 and 4. Semester 3 includes courses in Python programming, data structures, computer networks, databases, applied mathematics, and their corresponding practical courses. Semester 4 includes courses in Core Java, embedded systems, computer statistics, software engineering, computer graphics, and their practical courses.
wendi_ppt
1) The document discusses using machine learning methods like Naive Bayes classification to analyze sentiment in news data from social media sources like Twitter to enhance trading strategies.
2) It provides an example of parsing Twitter data related to the SPY ETF using NLTK and Naive Bayes, achieving 79.2% accuracy on the training set and 36.3% on the test set.
3) The document also outlines some more advanced approaches to measuring sentiment like Stanford NLP and Vader sentiment and discusses ongoing research into improving news sentiment analysis methods.
2nd sem
The document summarizes several course outlines for computer science courses. It provides details on three courses: Digital Logic, Discrete Structure, and Microprocessor. For each course it lists information like the course title, number, credit hours, nature, goals, contents which are divided into units, textbooks, and lab works. It also includes two sample course outlines for Data Structures and Algorithms and another unnamed course. The courses cover topics in digital logic, discrete math, microprocessors, data structures, algorithms and other computer science fundamentals.
2nd sem
The document summarizes several course outlines for computer science courses. It provides details on three courses: Digital Logic, Discrete Structure, and Microprocessor. For each course it lists information like the course title, number, credit hours, nature, goals, contents which are divided into units, textbooks, and lab works. It also includes two sample course outlines for Data Structures and Algorithms and another unnamed course. The courses cover topics in digital logic, discrete math, microprocessors, data structures, algorithms and other computer science fundamentals.
Building Data Scientists
Overview of a Machine Learning 11 week course I developed and trained software engineers at Dell on their way to become Data Scientists. Class is outline of Predictive Analytics methods using Python. I taught this class 8 separate occasions over 3 years.
Probability Theory and Mathematical Statistics
This document provides information about a Probability Theory and Mathematical Statistics course taught at KNITU, Russia. It includes details about the course such as the number of students, preliminary courses required, distribution of working time, topics covered in lectures and workshops/laboratories. It also compares the methodology and topics studied in this course to a similar course taught at TUT, Finland. Key differences highlighted include the use of Matlab at TUT and more emphasis on practical work/tutorials versus lectures. Overall competencies covered are also summarized and compared between the two courses based on the SEFI framework.
Python institute in Patna
CSDT IT Solution is leading Computer Programming training Institute in Patna, CSDT provides best Python programming class in patna, CSDT Python computer Programming training in patna is fully based on corporate/IT industry for job purpose. CSDT is one of the best programming institute in patna. CSDT IT Solution provides live project training on Python Programming for BCA, MCA, B.Tech students and other courses students.
http://www.csdt.co.in/Python_institute_patna.htm
pp hand out (1).doc
This document provides information about the Python Programming course offered in the third year of a B.Tech program. The course aims to teach students the basics of Python programming language including data types, operators, control structures, functions, modules, strings, regular expressions, sequences, object-oriented concepts, inheritance, exception handling, and commonly used Python libraries like NumPy and Pandas. Students will be evaluated through mid-semester exams, presentations, and a final written exam.
pp hand out (1).doc
This document provides information about the Python Programming course offered in the third year of a B.Tech program. The course aims to teach students the basics of Python programming language including data types, operators, control structures, functions, modules, strings, regular expressions, sequences, object-oriented concepts, inheritance, exception handling, and commonly used Python libraries like NumPy and Pandas. Students will be evaluated through mid-semester exams, presentations, and a final exam. The course intends to help students apply programming concepts to problem solving and analyze various data structures and object-oriented problems.
Data Analysis Course in Nagpur
BinaryCode Technologies Is A Premium Training Company Helping You With The Data Analysis Of Future Like Python, SQL, AI.
GE3151 problem solving and python programming - Syllabus
GE3151 problem solving and python programming - SyllabusFatima Michael College of Engineering and Technology
This document outlines the course objectives and units for GE3151 Problem Solving and Python Programming. The course aims to teach students algorithmic problem solving, Python programming using conditionals and loops, defining functions, and using Python data structures like lists, tuples and dictionaries. The 5 units cover computational thinking, Python data types and expressions, control flow and functions, lists and tuples, and files and modules. Upon completing the course students will be able to develop algorithmic solutions, write Python programs using conditionals and loops, decompose programs into functions, represent compound data, and read/write files in Python programs.PDS Unit - 1 Introdiction to DS.ppt
This document provides an introduction to a course on Python for Data Science. It discusses key concepts related to data, information, databases, data warehouses, big data, and data science. It outlines the course objectives, which are to train students to solve computational problems using Python and build different types of models. The syllabus covers topics like introduction to data science, NumPy, data manipulation with Python, data cleaning/preparation/visualization, and machine learning using Python. Textbooks and reference materials are also listed.
4th sem
This course teaches technical writing skills needed for a career in technology. It covers writing processes, styles, and formats for various technical documents. Key topics include organizing information, writing for different audiences, using graphics and visual elements, writing instructions, descriptions, reports, and other common technical document types. Students learn grammar and mechanics rules specific to technical writing. The goal is for students to gain proficiency in written communication skills required in technical fields.
Course outline
This course provides an introduction to data science, its applications, and the tools used. Students will learn Python, NumPy, Pandas, and scikit-learn for data analysis and machine learning. The course aims to help students understand how data science can improve emergency response, environmental impact analysis, and personalized customer services. Students will learn to find datasets, analyze data to answer research questions, and present findings. Assessment includes midterm, final exams, quizzes, assignments, and a project.
Topic 3 DQ 6 Question What have you liked so far about stat.pdf
TQWRAElSSsDuAfiBuDrPTfainiiebueesnnoinattsayeaeutmchaarcelelcap T ssyvtdedaeofattharreeliwyoeiois ps rs y c segest ori mrs r, taV s e e SstnDtwh c i fL 3 tiiaowiis srcotaiionsheaade i sz i n anyD nnh,dc.rvhltueaac i o igal talikeeeQ yar trunSyAu paenet lp stMl.dcs y tiro a nai I 6zoalPna , i Po Au a n t c taawttegtnaeuyhiadlnngeltsayox:an ti en ia i ropthlnspspufDlidnisdylkcinrosgiyunll s soioesaeds:ssnms l a : fia:Presd c i Ps ie ehnntsPha.tBp i a es iky sa c:aatoIy id nasseittnoelvTntstnhe tadiy-sha ec,oid i l:oaf netmas'eo ll a ena ulPnrlgseassoanirnca.edk i,, ytv nrwa h o i alaP eenpnt-reSssnanhsgbetd:y.rgrweit s o oosroga taTs d rath etimvnurliottssiha edeoascri l te diisetms e mslasntbcaesvei s,ss s r a a at eaovshseatiat,anonokii urr da rcstanaandlena i i besisuesbndb l s l f r lm to yasaesvd isria i ess c s a ifln , ie tonitfs ctl s eiz rhedaaavsaerugil aneeear le n i y aaeyno ibtgsa tnirrdisslo n foaeri insovP n zyieafgmnsPlsuoef, a e ynn ,dostprldltu attoevacioh aeuihbp potc rehbpeaoneromrioh-nncs la hrn dtpneoris eoe a g rntedl a , fhii t-lsn . u ebeBt eainad somt i P ssr r a tpratanalawhaeae eyerulydttraynnrt echat ileia s hzeastssiaw arn s lcoiensttftwtsntieihoghao n craiegsnlai ar en is endf mkpu ghytryt d s a ehbateps aa weha t mt eemrp ahsnaMdantfoi o a onaaar ectesuwa i r ratlynhfweuwctyl mtid lii ntapvosytsnsfo oh i dtellesiltyvncrloos l a eeiiakrsoobdons,toatn scl u liu m.igiplvfslbbn,gtso i esertllhep, ciiiitronn .abdcs-malnlSbuiecgan r nve toaeadalx.ldr u e f varaf bitaSi n u di s c eteiblisneniotlgniirkinsaaouatci m c n e y tg ltrPilht.ittiny g d mh sia etynoTs,h t a b Minteiniaeaqceostle se rnanCu,o ase u l sldeeiraunf3 anryooc sanpda scP roar r tdp l l Feo n ilmunatso nohml t ddno tmhermpaulti a weyitn uPtsroowtl rdg y i tcetygdmraaho-s e odSieSnptanrie ui s kltodaoictga ln. ssdnrfia nP? t ie s m yntl.bloyr,o iea,tewhnsey.
Similar to Course-Data Science_generic (20)
Applications of Multivariate Techniques to Measure Content Structure with Mu...
Applications of Multivariate Techniques to Measure Content Structure with Mu...
COVID - 19 DATA ANALYSIS USING PYTHON and Introduction to Data Science
COVID - 19 DATA ANALYSIS USING PYTHON and Introduction to Data Science
B sc it syit sem 3 sem 4 syllabus as per mumbai university
B sc it syit sem 3 sem 4 syllabus as per mumbai university
GE3151 problem solving and python programming - Syllabus
GE3151 problem solving and python programming - Syllabus
Topic 3 DQ 6 Question What have you liked so far about stat.pdf
Topic 3 DQ 6 Question What have you liked so far about stat.pdf
Recently uploaded
Top Recruitment Agencies in Pakistan - Delta International Recruitment Agency
Top Recruitment Agencies in Pakistan - Delta International Recruitment AgencyDelta International Recruitment Agency
Delta International is an ISO Certified top recruiting agency in Pakistan, recognized for its highly experienced recruiters. With a diverse range of international jobs for Pakistani workers, Delta International maintains extensive connections with overseas employers, making it one of the top 10 recruitment agencies in Pakistan. It stands out in the list of recruitment agencies in Pakistan for its exceptional services.
https://www.ditrc.com/
Known for its expertise in the Gulf region, Delta International is among the top 10 international recruitment agencies, specializing in expert headhunting and candidate sourcing. This prominence places it in the list of top 10 overseas recruitment agencies in Pakistan. As one of the best overseas recruitment agencies in Pakistan, Delta International is a trusted name for manpower recruitment, particularly from Pakistan.
The agency is not just a leading name in Karachi but also recognized as one of the best recruitment agencies in Islamabad. Delta International consistently ranks as the top recruitment agency in Pakistan, earning its reputation among the top recruiting agencies in Pakistan. It is also regarded as one of the top overseas employment agencies in Pakistan.
For those seeking foreign jobs, Delta International is listed among the top overseas employment companies in Pakistan. Their extensive network and expertise make them a go-to for anyone looking at the list of overseas employment agencies in Pakistan. As a leading foreign jobs recruitment agency in Pakistan, they offer opportunities across various sectors.
Delta International is consistently listed among the top recruitment companies in Pakistan, known for providing the best recruitment services. It’s considered one of the best recruitment agencies in Pakistan and a prominent recruitment agency in Pakistan. The company excels in international recruitment, making it a key player among international recruitment agencies in Pakistan.
Their inclusion in the list of international recruitment agencies further attests to their excellence. As a top manpower agency in Pakistan, Delta International specializes in recruiting skilled professionals and labor for various industries, including construction, healthcare, IT, engineering, and hospitality.
Delta International is a leader among recruitment agencies in Pakistan, with a particular focus on overseas employment. They are one of the foremost overseas employment agencies in Pakistan, catering to technical jobs and other employment opportunities. Their role as overseas employment promoters highlights their commitment to connecting Pakistani talent with global opportunities.
In summary, Delta International is not only one of the best recruitment agencies in Pakistan but also a distinguished name among overseas employment agencies. Their extensive network and experienced recruiters make them a top choice for anyone seeking employment both locally and internationally.欧洲杯足彩-欧洲杯足彩投注网-欧洲杯足彩投注网站|【网址🎉ac123.net🎉】
【网址🎉ac123.net🎉】欧洲杯足彩是体育博彩和在线赌场之一，得益于UKGC的三项许可。 成立之初是三名博彩公司将40家博彩商店的合并的结果，共同创建一家名为欧洲杯足彩的公司。 欧洲杯足彩在线赌场为游戏爱好者提供了300多种游戏，其中200多种老虎机，其他游戏包括二十一点，轮盘，真人荷官和真人赌场等。
欧洲杯投注-欧洲杯投注投注官方网站-欧洲杯投注买球投注官网|【网址🎉ac99.net🎉】
【网址🎉ac99.net🎉】在欧洲杯投注，你会发现数之不尽的在线博彩机会，包括世界各地的精彩体育赛事以及绝佳的赔率。此外，欧洲杯投注还会为你提供诸如赌场、宾果和扑克等在线游戏以及各种各样的奖金优惠，包括欧洲杯投注的免费投注。无论你是忠实的足球迷，或者是二十一点的专业玩家，在这里都可以找到你最感兴趣的投注市场或游戏。
欧洲杯足彩-欧洲杯足彩买球平台-正规欧洲杯足彩买球平台|【网址🎉ac99.net🎉】
【网址🎉ac99.net🎉】欧洲杯足彩是体育博彩和在线赌场之一，得益于UKGC的三项许可。 成立之初是三名博彩公司将40家博彩商店的合并的结果，共同创建一家名为欧洲杯足彩的公司。 欧洲杯足彩在线赌场为游戏爱好者提供了300多种游戏，其中200多种老虎机，其他游戏包括二十一点，轮盘，真人荷官和真人赌场等。
一比一原版美国罗格斯大学毕业证（rutgers学位证）如何办理
原件一模一样【微信：WP101A】【美国罗格斯大学毕业证（rutgers学位证）成绩单】【微信：WP101A】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：WP101A】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：WP101A】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：WP101A】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理美国罗格斯大学毕业证（rutgers学位证）学位证【微信：WP101A 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理美国罗格斯大学毕业证（rutgers学位证）学位证【微信：WP101A 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理美国罗格斯大学毕业证（rutgers学位证）学位证【微信：WP101A 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理美国罗格斯大学毕业证（rutgers学位证）学位证【微信：WP101A 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
按照学校原版(ArtEZ文凭证书)ArtEZ艺术学院毕业证快速办理
官方原版办理【(ArtEZ毕业证书)ArtEZ艺术学院毕业证】【176555708微信号】海外认证成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Cheap Rates Call Girls Bangalore 9024918724 Just CALL ME Book Beautiful Girls...
Cheap Rates Call Girls Bangalore 9024918724 Just CALL ME Book Beautiful Girls any Time
一比一原版(kcl毕业证书)英国金斯顿大学毕业证如何办理
原版一模一样【微信：741003700 】【(kcl毕业证书)英国金斯顿大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(kcl毕业证书)英国金斯顿大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(kcl毕业证书)英国金斯顿大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(kcl毕业证书)英国金斯顿大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(kcl毕业证书)英国金斯顿大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Section 79(A) of Maharashtra Societies act 1860
Lot of redevelopment projects are going on, where law and procedures are not followed , causing harm to the members of the society . This PPT is useful for every citizen living in society Building
一比一原版(lincoln学位证书)英国林肯大学毕业证如何办理
原版一模一样【微信：741003700 】【(lincoln学位证书)英国林肯大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(lincoln学位证书)英国林肯大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(lincoln学位证书)英国林肯大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(lincoln学位证书)英国林肯大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(lincoln学位证书)英国林肯大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
LinkedIn Strategic Guidelines for June 2024
LinkedIn is a powerful tool for networking, researching, and marketing yourself to clients and employers. This session teaches strategic practices for building your LinkedIn internet presence and marketing yourself. The use of # and @ symbols is covered as well as going mobile with the LinkedIn app.
Indore ℂall Girl Book 00000000 ℂall Girl Service In Indore
Indore ℂall Girl Book 00000000 ℂall Girl Service In Indore
美洲杯买球-美洲杯买球下注平台-美洲杯买球投注平台|【网址🎉ac55.net🎉】
【网址🎉ac55.net🎉】美洲杯买球是爱尔兰的博彩公司，成立于1988年，位于爱尔兰的都柏林。美洲杯买球通过在爱尔兰和英国的一系列持牌博彩商店以及经营爱尔兰最大的电话博彩服务来开展业务。在互联网上，美洲杯买球提供体育博彩，在线扑克，在线宾果游戏，在线赌场和在线游戏。
Education policy of India 2024-25 for students which helpful in educating
understand about t he education
美洲杯投注-美洲杯投注比分-美洲杯投注比分投注|【网址🎉ac44.net🎉】
【网址🎉ac44.net🎉】美洲杯投注是世界上最大的网上博彩公司之一，于直布罗陀注册，在200个国家拥有超过3500万客户。在国际上都可以称得上是极其优秀的博彩公司。总部位于英国Stoke-on-Trent，美洲杯投注在世界各地的雇员超过600名。该公司登录亚洲市场多年，近年针对亚洲的市场拓展的很快。它的特点是投注赔率富于变化，同时对于冷门赛事，赔率变化幅度会大于其它博彩公司。美洲杯投注在终赔阶段往往向立博、韦德等靠拢，一旦差异很大，往往会出现问题。
一比一原版加拿大特伦特大学毕业证如何办理
原版一模一样【微信：741003700 】【加拿大特伦特大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理加拿大特伦特大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理加拿大特伦特大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理加拿大特伦特大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理加拿大特伦特大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Recently uploaded (20)
Top Recruitment Agencies in Pakistan - Delta International Recruitment Agency
Top Recruitment Agencies in Pakistan - Delta International Recruitment Agency
NOSE CANCER Yashita lesson plan Health & Cancer Related Topics.pdf
NOSE CANCER Yashita lesson plan Health & Cancer Related Topics.pdf
Cheap Rates Call Girls Bangalore 9024918724 Just CALL ME Book Beautiful Girls...
Cheap Rates Call Girls Bangalore 9024918724 Just CALL ME Book Beautiful Girls...
Indore ℂall Girl Book 00000000 ℂall Girl Service In Indore
Indore ℂall Girl Book 00000000 ℂall Girl Service In Indore
Education policy of India 2024-25 for students which helpful in educating
Education policy of India 2024-25 for students which helpful in educating
Course-Data Science_generic
- 2. 2 topics 1 Introduction 2 Analytics using Excel 3 Statistics 4 Python & Visualization 5 SQL 6 Power BI 7 Machine Learning 8 Deep Learning
- 3. 3 1. INTRODUCTION Problem Solving Approach Deterministic v Non Deterministic Approach Machine Learning Philosophy 2. ANALYTICS Excel Formula Excel Functions What-if Analysis Linear Programming Linear Regression
- 4. 4 3. STATISTICS Data and Types Central Tendency: Mean, Median, Mode Deviation: Range, Variance, Standard Deviation Box Plot and its importance Frequency distribution and its importance Scatter Plots and its importance Probability Discrete Probability Distribution: Binomial Distribution, Poisson Continuous Probability Distribution: Normal, t distribution, Exponential Correlation 4 Mini Projects
- 5. 5 4. PYTHON Python Basics Python Variables: int, float, string, bool, complex Conditional statements Loops Python Collections: List, Tuple, Dictionary, Set, Frozen- set Mini Python Project 1 Functions and Methods Class & Objects Mini Python Project 2 Numpy Working with CSV and Text files Error Handling Python Project 1: Using All Python concepts
- 6. 6 5. DATA VISUALIZATION Story Telling Scipy Pandas Visualization Mini Project - 1 Matplotlib: basic plots and advanced plots Visualization Mini Project - 2 NLP: N-gram models of language NLP Project Web Scrapping Project: Web scraping and visualization 6. POWER BI Connecting to Data Transforming Data Working with calculations and expressions Visualizing Data Building Graphs and Dashboards
- 7. 7 7. SQL PROGRAMMING OLTP v OLAP Database Objects Manipulating Data Working with the SELECT Statement Querying Multiple Tables Employing Functions in Data Retrieval Constructing Nested Queries 8. MACHINE LEARNING Regression: Simple linear, multiple linear, ridge, lasso, decision tree, random forest Classification: svm, decision tree, random forest, naïve bayes, bagging, boosting Clustering: K means, Hierarchical Projects Association: Market Basket Analysis Mini Project 12 more projects to practice
- 8. 8 9. DEEP LEARNING ANN CNN RNN LSTM Examples to practice