The slides were used in a trial session for a student aiming to learn python to do Data science projects .
The session video can be watched from the link below
https://youtu.be/CwCe1pKOVI8
I have over 20 years of experience in both teaching & in completing computer science projects with certificates from Stanford, Alberta, Pennsylvania, California Irvine universities.
I teach the following subjects:
1) IGCSE A-level 9618 / AS-Level
2) AP Computer Science exam A
3) Python (basics, automating staff, Data Analysis, AI & Flask)
4) Java (using Duke University syllabus)
5) Descriptive statistics using SQL
6) PHP, SQL, MYSQL & Codeigniter framework (using University of Michigan syllabus)
7) Android Apps development using Java
8) C / C++ (using University of Colorado syllabus)
Check Trial Classes:
1) A-Level Trial Class : https://youtu.be/v3k7A0nNb9Q
2) AS level trial Class : https://youtu.be/wj14KpfbaPo
3) 0478 IGCSE class : https://youtu.be/sG7PrqagAes
4) AI & Data Science class: https://youtu.be/CwCe1pKOVI8
https://elmalla.info/blog/68-tutor-profile-slide-share
You can get your trial Class now by booking : https://calendly.com/ahmed-elmalla/30min
And you can contact me on
https://wa.me/0060167074241
by Python & Computer science tutor in Malaysia
Kompetensi Data analitik merupakan kompetensi yang sangat dibutuhkan pada era industri 4.0. Kami siap memberikan pelatihan kepada karyawan perusahaan yang membutuhkan. Silahkan kontak kami di jhotank@yahoo.com atau di website http://corporaeuniversity-digital.com.
Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can teach themselves to grow and change when exposed to new data.
Data Science Job ready #DataScienceInterview Question and Answers 2022 | #Dat...Rohit Dubey
How Much Do Data Scientists Make?
The demand and salary for data scientists tend to be higher than most other ITES jobs. Experience is one of the key factors in determining the salary range of a data science professional.
According to Glassdoor, a Data Scientist in the United States earns an annual average of USD 117,212, and the same site reports that Data Scientists in India make a yearly average of ₹1,000,000.
Data Scientist Career Path
Data Science is currently considered one of the most lucrative careers available. Companies across all major industries/sectors have data scientist requirements to help them gain valuable insights from big data. There is a sharp growth in demand for highly skilled data science professionals who can straddle the business and IT worlds.
The career path to becoming a data scientist isn’t clearly defined since this is a relatively new profession. People from different backgrounds like mathematics, statistics, computer science or economics, end up in data science.
The major designations for data science professionals are:
Data Analyst
Data Scientist (entry-level)
Associate data scientist
Data Scientist (senior-level)
Product Manager
Lead data scientist
Director/VP/SVP
That was all about Data Scientist Job Description.
Become a Data Scientist Today!
In this write-up, we covered the Data Scientist job description in detail. Irrespective of which location you are in, there is no dearth of jobs for skillful data scientists. A career in data science is a rewarding journey to embark on, especially in the finance, retail, and e-commerce sectors. Jobs are also available with Government departments, universities and research institutes, telecoms, transports, the list goes on.
This video covers
Introductory Questions
Data Science Introduction
Data Science Technical Interview QnA :
#Excel
#SQL
#Python3
#MachineLearning
#DataAnalyticstechnical Interview
#DataScienceProjects
#coder #statistics #datamining #dataanalyst #code #engineering #linux #codinglife #cloudcomputing #businessintelligence #robotics #softwaredeveloper #automation #cloud #neuralnetworks #sql #science #softwareengineer #digitaltransformation #computer #daysofcode #coders #bigdataanalytics #programminglife #dataviz #html #digitalmarketing #devops #datasciencetraining #dataprotection
#rohitdubey
#teachtechtoe
#datascience #datasciencetraining #datasciencejobs #datasciencecourse #datasciencenigeria #datasciencebootcamp #datascienceworkshop #datasciencecareers #datasciencestudent #datascienceproject #datascienceforall #datasciencetraininginpatelnagar#datasciencetrainingindelhi
What is the difference between Data Science and Data Analytics.pdfRoshni Sharma
This article explores the distinction between data science and data analytics, highlighting the contrasting roles and methodologies employed in these two fields, helping readers gain a clear understanding of their unique contributions to the world of data.
To succeed as a data scientist, you should follow a structured path known as the “Data Science Roadmap.” This path outlines foundational knowledge in math and programming. Data manipulation and visualization, exploratory data analysis. Machine learning, deep learning, and advanced topics such as natural language processing and time series analysis. Following this roadmap can help you acquire the skills and knowledge needed to excel in this rapidly growing field.
Becoming a successful data scientist requires a unique combination of technical skills, business acumen, and critical thinking ability. To achieve your career goals in this field, you need a structured plan or a data science roadmap that outlines the skills, tools, and knowledge required to succeed. In this blog, we’ll take a closer look at what a data science roadmap is, why it’s important, and how to create one that works for you.
At its core, It is a structured plan that outlines the skills, tools, and knowledge required to become a successful data scientist. It serves as a guidepost to help individuals navigate the complex landscape of data science and provides a clear path towards achieving their career objectives.
Kompetensi Data analitik merupakan kompetensi yang sangat dibutuhkan pada era industri 4.0. Kami siap memberikan pelatihan kepada karyawan perusahaan yang membutuhkan. Silahkan kontak kami di jhotank@yahoo.com atau di website http://corporaeuniversity-digital.com.
Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can teach themselves to grow and change when exposed to new data.
Data Science Job ready #DataScienceInterview Question and Answers 2022 | #Dat...Rohit Dubey
How Much Do Data Scientists Make?
The demand and salary for data scientists tend to be higher than most other ITES jobs. Experience is one of the key factors in determining the salary range of a data science professional.
According to Glassdoor, a Data Scientist in the United States earns an annual average of USD 117,212, and the same site reports that Data Scientists in India make a yearly average of ₹1,000,000.
Data Scientist Career Path
Data Science is currently considered one of the most lucrative careers available. Companies across all major industries/sectors have data scientist requirements to help them gain valuable insights from big data. There is a sharp growth in demand for highly skilled data science professionals who can straddle the business and IT worlds.
The career path to becoming a data scientist isn’t clearly defined since this is a relatively new profession. People from different backgrounds like mathematics, statistics, computer science or economics, end up in data science.
The major designations for data science professionals are:
Data Analyst
Data Scientist (entry-level)
Associate data scientist
Data Scientist (senior-level)
Product Manager
Lead data scientist
Director/VP/SVP
That was all about Data Scientist Job Description.
Become a Data Scientist Today!
In this write-up, we covered the Data Scientist job description in detail. Irrespective of which location you are in, there is no dearth of jobs for skillful data scientists. A career in data science is a rewarding journey to embark on, especially in the finance, retail, and e-commerce sectors. Jobs are also available with Government departments, universities and research institutes, telecoms, transports, the list goes on.
This video covers
Introductory Questions
Data Science Introduction
Data Science Technical Interview QnA :
#Excel
#SQL
#Python3
#MachineLearning
#DataAnalyticstechnical Interview
#DataScienceProjects
#coder #statistics #datamining #dataanalyst #code #engineering #linux #codinglife #cloudcomputing #businessintelligence #robotics #softwaredeveloper #automation #cloud #neuralnetworks #sql #science #softwareengineer #digitaltransformation #computer #daysofcode #coders #bigdataanalytics #programminglife #dataviz #html #digitalmarketing #devops #datasciencetraining #dataprotection
#rohitdubey
#teachtechtoe
#datascience #datasciencetraining #datasciencejobs #datasciencecourse #datasciencenigeria #datasciencebootcamp #datascienceworkshop #datasciencecareers #datasciencestudent #datascienceproject #datascienceforall #datasciencetraininginpatelnagar#datasciencetrainingindelhi
What is the difference between Data Science and Data Analytics.pdfRoshni Sharma
This article explores the distinction between data science and data analytics, highlighting the contrasting roles and methodologies employed in these two fields, helping readers gain a clear understanding of their unique contributions to the world of data.
To succeed as a data scientist, you should follow a structured path known as the “Data Science Roadmap.” This path outlines foundational knowledge in math and programming. Data manipulation and visualization, exploratory data analysis. Machine learning, deep learning, and advanced topics such as natural language processing and time series analysis. Following this roadmap can help you acquire the skills and knowledge needed to excel in this rapidly growing field.
Becoming a successful data scientist requires a unique combination of technical skills, business acumen, and critical thinking ability. To achieve your career goals in this field, you need a structured plan or a data science roadmap that outlines the skills, tools, and knowledge required to succeed. In this blog, we’ll take a closer look at what a data science roadmap is, why it’s important, and how to create one that works for you.
At its core, It is a structured plan that outlines the skills, tools, and knowledge required to become a successful data scientist. It serves as a guidepost to help individuals navigate the complex landscape of data science and provides a clear path towards achieving their career objectives.
This report contains:-
1. what is data analytics, its usages, its types.
2. Tools used for data analytics
3. description of Classification
4. description of the association
5. description of clustering
6. decision tree, SVM modelling etc with example
Introduction to Data Analysis Course Notes.pdfGraceOkeke3
"Embark on a journey into data analysis with our Introduction to Data Analysis slides. Uncover the fundamentals and prerequisites for effective analysis, explore types of data, and discover essential tools and methodologies. Equip yourself with the skills to unlock valuable insights.
Descriptive statistics are methods of describing the characteristics of a data set. It includes calculating things such as the average of the data, its spread and the shape it produces.
How can I become a data scientist? What are the most valuable skills to learn for a data scientist now? Could I learn how to be a data scientist by going through online tutorials? What does a data scientist do?
These are only some of the questions that are being discussed online, on blogs, on forums and on knowledge-sharing platforms like Quora.
Let me share the Beginner's Guide to Data Science which will be really helpful to you.
Also Checkout: http://bit.ly/2Mub6xP
Python for Data Analysis: A Comprehensive GuideAivada
In an era where data reigns supreme, the importance of data analysis for insightful decision-making cannot be overstated. Python, with its ease of learning and a plethora of libraries, stands as a preferred choice for data analysts.
Look no further than our comprehensive Data Science Training program in Chandigarh. Designed to equip individuals with the skills and knowledge required to thrive in today's data-centric world, our course offers a unique blend of theoretical foundations and hands-on practical experience.
Data Cleaning and Preprocessing: Ensuring Data Qualitypriyanka rajput
data cleaning and preprocessing are foundational steps in the data science and machine learning pipelines. Neglecting these crucial steps can lead to inaccurate results, biased models, and erroneous conclusions. By investing time and effort in /data cleaning and preprocessing, data scientists and analysts ensure that their analyses and models are built on a solid foundation of high-quality data.
How can a data scientist expert solve real world problems? priyanka rajput
Expert data scientists are essential in today's data-driven world for resolving challenging real-world issues in a variety of fields. Their broad skill set, which includes data collection, preparation, modelling, validation, and deployment, gives them the means to draw out useful information from big, complicated datasets. You can opt for data science course in Hisar, Delhi, Pune, Chennai and other parts of India.
Part of the ongoing effort with Skater for enabling better Model Interpretation for Deep Neural Network models presented at the AI Conference.
https://conferences.oreilly.com/artificial-intelligence/ai-ny/public/schedule/detail/65118
How to use Python to conduct regression analysis in management PhD research.pptxPhd Assistance
PhD Assistance provides guidance on using Python for regression analysis in management research, utilizing various libraries and modules specialized for this task.
Data science is an interdisciplinary field that uses algorithms, procedures, and processes to examine large amounts of data in order to uncover hidden patterns, generate insights, and direct decision making.
AP CS A Class Trial slide by Python & Computer science tutor in MalaysiaAhmed Elmalla
Slide used during a trial class for an Indian student planning to take the AP Computer science in 2024
Please Visit the Video : https://youtu.be/tDeIUuJgCu8
To book your trial session contact me : https://elmalla.online/go/16-elmalla-biz-slideshare
You can get your trial Class now by booking : https://calendly.com/ahmed-elmalla/30min
And you can contact me on
https://wa.me/0060167074241
by Python & Computer science tutor in Malaysia
The slides was used to introduce a student to IGCSE CS O-level specifically low level language with example, flow charts and pseudo code.
A 2D python array code summing on condition was explained using comprehensive lists
I have over 20 years of experience in both teaching & in completing computer science projects with certificates from Stanford, Alberta, Pennsylvania, California Irvine universities.
I teach the following subjects:
1) IGCSE A-level 9618 / AS-Level
2) AP Computer Science exam A
3) Python (basics, automating staff, Data Analysis, AI & Flask)
4) Java (using Duke University syllabus)
5) Descriptive statistics using SQL
6) PHP, SQL, MYSQL & Codeigniter framework (using University of Michigan syllabus)
7) Android Apps development using Java
8) C / C++ (using University of Colorado syllabus)
Check Trial Classes:
1) A-Level Trial Class : https://youtu.be/v3k7A0nNb9Q
2) AS level trial Class : https://youtu.be/wj14KpfbaPo
3) 0478 IGCSE class : https://youtu.be/sG7PrqagAes
4) AI & Data Science class: https://youtu.be/CwCe1pKOVI8
https://elmalla.info/blog/68-tutor-profile-slide-share
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This report contains:-
1. what is data analytics, its usages, its types.
2. Tools used for data analytics
3. description of Classification
4. description of the association
5. description of clustering
6. decision tree, SVM modelling etc with example
Introduction to Data Analysis Course Notes.pdfGraceOkeke3
"Embark on a journey into data analysis with our Introduction to Data Analysis slides. Uncover the fundamentals and prerequisites for effective analysis, explore types of data, and discover essential tools and methodologies. Equip yourself with the skills to unlock valuable insights.
Descriptive statistics are methods of describing the characteristics of a data set. It includes calculating things such as the average of the data, its spread and the shape it produces.
How can I become a data scientist? What are the most valuable skills to learn for a data scientist now? Could I learn how to be a data scientist by going through online tutorials? What does a data scientist do?
These are only some of the questions that are being discussed online, on blogs, on forums and on knowledge-sharing platforms like Quora.
Let me share the Beginner's Guide to Data Science which will be really helpful to you.
Also Checkout: http://bit.ly/2Mub6xP
Python for Data Analysis: A Comprehensive GuideAivada
In an era where data reigns supreme, the importance of data analysis for insightful decision-making cannot be overstated. Python, with its ease of learning and a plethora of libraries, stands as a preferred choice for data analysts.
Look no further than our comprehensive Data Science Training program in Chandigarh. Designed to equip individuals with the skills and knowledge required to thrive in today's data-centric world, our course offers a unique blend of theoretical foundations and hands-on practical experience.
Data Cleaning and Preprocessing: Ensuring Data Qualitypriyanka rajput
data cleaning and preprocessing are foundational steps in the data science and machine learning pipelines. Neglecting these crucial steps can lead to inaccurate results, biased models, and erroneous conclusions. By investing time and effort in /data cleaning and preprocessing, data scientists and analysts ensure that their analyses and models are built on a solid foundation of high-quality data.
How can a data scientist expert solve real world problems? priyanka rajput
Expert data scientists are essential in today's data-driven world for resolving challenging real-world issues in a variety of fields. Their broad skill set, which includes data collection, preparation, modelling, validation, and deployment, gives them the means to draw out useful information from big, complicated datasets. You can opt for data science course in Hisar, Delhi, Pune, Chennai and other parts of India.
Part of the ongoing effort with Skater for enabling better Model Interpretation for Deep Neural Network models presented at the AI Conference.
https://conferences.oreilly.com/artificial-intelligence/ai-ny/public/schedule/detail/65118
How to use Python to conduct regression analysis in management PhD research.pptxPhd Assistance
PhD Assistance provides guidance on using Python for regression analysis in management research, utilizing various libraries and modules specialized for this task.
Data science is an interdisciplinary field that uses algorithms, procedures, and processes to examine large amounts of data in order to uncover hidden patterns, generate insights, and direct decision making.
Similar to Data Science & AI Road Map by Python & Computer science tutor in Malaysia (20)
AP CS A Class Trial slide by Python & Computer science tutor in MalaysiaAhmed Elmalla
Slide used during a trial class for an Indian student planning to take the AP Computer science in 2024
Please Visit the Video : https://youtu.be/tDeIUuJgCu8
To book your trial session contact me : https://elmalla.online/go/16-elmalla-biz-slideshare
You can get your trial Class now by booking : https://calendly.com/ahmed-elmalla/30min
And you can contact me on
https://wa.me/0060167074241
by Python & Computer science tutor in Malaysia
The slides was used to introduce a student to IGCSE CS O-level specifically low level language with example, flow charts and pseudo code.
A 2D python array code summing on condition was explained using comprehensive lists
I have over 20 years of experience in both teaching & in completing computer science projects with certificates from Stanford, Alberta, Pennsylvania, California Irvine universities.
I teach the following subjects:
1) IGCSE A-level 9618 / AS-Level
2) AP Computer Science exam A
3) Python (basics, automating staff, Data Analysis, AI & Flask)
4) Java (using Duke University syllabus)
5) Descriptive statistics using SQL
6) PHP, SQL, MYSQL & Codeigniter framework (using University of Michigan syllabus)
7) Android Apps development using Java
8) C / C++ (using University of Colorado syllabus)
Check Trial Classes:
1) A-Level Trial Class : https://youtu.be/v3k7A0nNb9Q
2) AS level trial Class : https://youtu.be/wj14KpfbaPo
3) 0478 IGCSE class : https://youtu.be/sG7PrqagAes
4) AI & Data Science class: https://youtu.be/CwCe1pKOVI8
https://elmalla.info/blog/68-tutor-profile-slide-share
International Software Projects Show Cases by Python & Computer science tutor...Ahmed Elmalla
SmartHealth, Komax, Xytec, Smartrac and MariMatic are companies i worked for developing software projects for machinery
More details can be found here: https://elmalla.info/#portfolio
You can get your trial Class now by booking : https://calendly.com/ahmed-elmalla/30min
And you can contact me on
https://elmalla.info/linktree/2-links-slideshare-projects-show-case
by Python & Computer science tutor in Malaysia
Python Vs Pseudo code String Manipulation Ahmed Elmalla
Comparison between string manipulation functions in python language and pseudo code within the IGCSE A level syllabus
https://elmalla.info/blog/64-private-lesson-resources
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This is an example of a project designed before studying the need. Product designed then max started searching how to make solve problems in schools. He was hoping to solve UK school problems.
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This presentation was part of the Demo to on Aug 2023 in WE school in suez for teaching programing to secondary level children.
The demo covers :
1) How to build children brain chunks
2) Encouraging children with real life software projects.
3) Python list comprehension example for a 2D array
4) Facial recognition for patients
5) Monitoring diabetes patients
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A proposal for using a higher resolution camera to detect the position of an 80 micron wire embedded on an RFID inlay.
Bonding with 1 mm tip on 1.2 mm space on every side of the the chip.
More details can be found here : https://elmalla.info/project/25-installing-the-german-eid-machinery
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This certification is one of 5 certs in the specialization course covering AI in healthcare offered by Stanford university.
The course was taken to gain the knowledge in producing FDA approved AI software for predicting chronic diseases in third world countries under the smart health project
Ahmed Elmalla worked in world class teams to develop high end software that is still running in US, Germany and Malaysia.
This certifications is part of the product management specialization offered by Alberta university.
I taught the daughter java and helped her prepare for the AP CS A exam.
she said "Mr. Ahmed is dedicated to helping my daughter achieve her goals and is able to easily explain difficult concepts. He also provided useful practice materials which truly helped. Very encouraging and supportive of his students. Would highly recommend to anyone who is looking for a computer science tutor. I’m immensely grateful for his guidance and expertise"
More testimonials can be found in: https://elmalla.info/blog/48
I teach the following subjects:
1) IGCSE A-Level
2) AP Computer Science exam A
3) Python (basics, automating staff,Data Analysis, AI & Flask)
4) Java
5) Descriptive statistics using SQL
6) PHP & Codeigniter framework
7) Android Apps development in Java
A business case submitted on 2020 to KACST Accelerator .
The initial benefits/savings for the Project for a 100 worker construction site are:
* SAR 34,000 saving in wasted wages in the first 3 months
* SAR 54,400 increase in businesses earning from worker productivity in the first
month
* 93% immediate reduction in temperature queue times.
* 50% immediate reduction in time needed to produce business compliance reports to
site consultants or auditing bodies.
Linkedin : https://www.linkedin.com/in/ahmedelmalla/
Personal Website: https://elmalla.info
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I built software solutions that are being used in the US, Germany, Brazil, Malaysia and Thailand.
I have co-founded a healthcare startup in KSA for remote health monitoring for the elderly & chronic patients that was backed by KACST in 2020 and one of our prototypes ranked among top 11 in KAUST Hajj challenge in 2021.
I developed a passion for working in startups.
Earlier, I worked for a European company from 2013 where I handled all their projects in kSA till 2018 on a remote setting where I was the only employee in KSA almost 80% of the time so I handled all kind of office and project activities (on-site supervision, design work coordination, sourcing suppliers and sub-contractors and negotiating partnership opportunities).
Outside the gulf region, I led projects in different fields like charity, agriculture, medical, engineering, environment and in IT projects where custom software development was the primary product and also in projects where software was only 30% of the final product. This gave me the expertise in managing and coordinating projects regardless of the field knowledge.
I dealt with suppliers in Dubai, Singapore, China, Japan, England, Finland, Italy, USA and Germany. I also created business plans, cash flow and maintained project budgets reports on medium sized projects.
I led projects for the US & German governments adhered to security restrictions, handled difficult personalities and delivered projects successfully on time and on budget.
And I supported sales directors to close multi-million project deals by dealing with all technical concerns for the client. I helped the management team to resolve conflicts with the client and strove to build good business connections.
Linkedin : https://www.linkedin.com/in/ahmedelmalla/
Personal Website: https://elmalla.info
Teaching experience:
* Trained around 50+ students in different IT subjects (C++, CCNA, Linux) from scratch.
*Taught Java to AP CS A students, German University students and working professionals.
*Taught python & best studying practices to IGCSE students.
*Taught VB6 programming to Oil & gas working professionals.
In addition to my computer engineering degree, I also
*Studied AI in healthcare in Stanford university
*Studied Software product management in university of Alberta
*Studied Effective Problem solving & Decision making in university of California Irvine (UCI)
*Studied Learning how to learn with Barbra Oaklay from Oakland University
*Certified in Android development from Udacity.
*Certified in Data Analysis from Udacity.
What my students say: https://elmalla.info/blog/48-Students-testmon
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Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
2. Students Brain
Building brian chunks / Physical Exercise
Creativity vs emotional stability
Focus mode vs Diffuse mode
Working Memory Vs Permanent memory
3. Data Science
● “…a field that deals with unstructured, structured data, and semi-structured
data. It involves practices like data cleansing, data preparation, data analysis,
and much more.
● Data science is the combination of statistics, mathematics, programming, and
problem-solving; capturing data in ingenious ways; the ability to look at things
differently; and the activity of cleansing, preparing, and aligning data.”
4. Data Science Road Map
● Descriptive Statistics
● Probability
● Python (OOP + Pandas + Numpy + Scipy)
● Data Cleaning: One of the MOST important skills that you need to master to
become a good data scientist, you need to practice on many datasets to
master it.
● Data Visualization (using Matplotlib and seaborn )
● Dashboards (Tableau)
● SQL and DB (SQL for Data Analysis)
● Time Series Analysis
5. Descriptive Statistics
It is used to summarize the main features of a data set, such as its central tendency, variability,
and distribution. Descriptive statistics can be used to describe a data set in a way that is easy
to understand and interpret. Some of the most common descriptive statistics include:
● Mean: The mean is the average of all the values in a data set.
● Median: The median is the middle value in a data set when all the values are arranged in
order from least to greatest.
● Mode: The mode is the most frequent value in a data set.
● Range: The range is the difference between the largest and smallest values in a data set.
● Variance: The variance measures how spread out the values in a data set are.
● Standard deviation: The standard deviation is a measure of how much variation there is
from the mean in a data set.
6. Probability
● Model uncertainty: Data is often noisy and incomplete, which means that there is
uncertainty about the true values of the data. Probability can be used to model this
uncertainty and to make inferences about the data.
● Make predictions: Probability can be used to make predictions about future events, given
the observed data. For example, a data scientist might use probability to predict the
likelihood of a customer clicking on an ad, or the likelihood of a patient recovering from a
disease.
● Detect anomalies: Probability can be used to detect anomalies in data. An anomaly is an
observation that is significantly different from the rest of the data. Probability can be used
to identify anomalies by calculating the likelihood of an observation occurring.
● Cluster data: Probability can be used to cluster data into groups of similar observations.
This can be useful for identifying patterns in the data and for making predictions about
7. Python Libraries (Pandas ,Numpy , Scipy )
Pandas is a Python library that provides high-performance, easy-to-use data structures and data
analysis tools. It is widely used by data scientists for data manipulation, analysis, and
visualization.
NumPy is a Python library that provides a high-performance multidimensional array object, along
with a suite of functions for working with arrays. It is used in a wide variety of domains, including
scientific computing, data science, and machine learning.
SciPy is a scientific computation library that uses NumPy underneath. SciPy stands for Scientific
Python. It provides more utility functions for optimization, stats and signal processing.
8. Data Cleaning
● Identifying and correcting errors: This includes fixing typos, correcting incorrect values,
and removing duplicate data.
● Imputing missing values: This involves filling in missing data with either estimated values
or by removing the rows or columns with missing data.
● Dealing with outliers: Outliers are data points that are significantly different from the rest
of the data. They can be caused by errors or by unusual circumstances. Outliers can be
removed, or they can be treated as separate categories.
● Data formatting: This involves converting the data into a format that is easy to use and
analyze. This can involve changing the data type, or converting it into a different file
format.
● Data normalization: This involves scaling the data so that all of the values are within a
similar range. This can make it easier to compare the data and to identify trends.
10. Data Visualization Libraries
● Matplotlib and Seaborn are two popular Python libraries for data visualization. Matplotlib is a
general-purpose library that can be used to create a variety of charts and graphs. Seaborn is built on
top of Matplotlib and provides a number of high-level functions for creating statistical plots.
● Creating bar charts: Bar charts are used to show the distribution of data. They can be used to show
the number of observations in each category, or the average value of a variable in each category.
● Creating line charts: Line charts are used to show the trend of data over time. They can be used to
show how a variable changes over time, or how two variables are related to each other.
● Creating scatter plots: Scatter plots are used to show the relationship between two variables. They
can be used to show how two variables are correlated, or to identify outliers.
● Creating histograms: Histograms are used to show the distribution of data. They can be used to show
the number of observations in each range of values, or the probability of a value occurring.
● Creating box plots: Box plots are used to show the distribution of data. They can be used to show the
median, quartiles, and outliers of a data set.
11. Dashboards - Tableau
A dashboard is a visual representation of data that helps users to monitor and analyze
information. Dashboards are typically used in business settings to track performance, identify
trends, and make decisions.
Tableau is a business intelligence (BI) tool that allows
users to create interactive dashboards.
Tableau is a popular choice for dashboard creation
because it is easy to use and has a wide range of
features.
12. SQL & DB
It helps data scientists access, manage, and analyze large data sets to derive
insights that can drive better business decisions.
For professionals looking to build a career in data science, learning SQL is a
must-have skill
13. Time Series Analysis
● Time series analysis is a statistical technique that is used to analyze data that is
collected over time. It is used to identify patterns and trends in the data, and to
make predictions about future values.
● Forecasting: Time series analysis can be used to forecast future values of a
variable. This can be useful for making business decisions, such as setting prices
or planning production.
● Identifying trends: Time series analysis can be used to identify trends in the data.
This can be useful for understanding the behavior of the variable and for making
predictions about future values.
20. Coding alone not enough
Analysis, Design, Coding, Testing, Maintenance
Methodologies like waterfall, Agile
21. Show Case 1 - Healthcare Mobile App
Mobile app that can connect to
a medical device.
Read patients oxygen level,
glucose level and ECG heart
waves.
Send it in real time to clinicians
and patients guardians
22. Project 1 Images
Patient can allow
certain Clinicians &
patient guardians to
monitor his glucose
levels, oxygen levels,
ECG waves, blood
pressure and more.
23. Showcase Videos
How guardians / Clinicians can monitor patients
https://youtu.be/CxRpQkLE9uA
Live Monitoring for patients: https://youtu.be/uz3wkkcGdHA
Patient Offline showcase (without connecting to Checkme) :
https://youtu.be/wmGJE1QNHo8
Diabetes Diary - Smart Health https://youtu.be/ztlcYvRVByE
24. Showcase 2 - Facial recognition for patients
Recognizing accident patients
using AI
Using Smartglass to see
patients details in the prism
Using Smart Watch to
measure body vitals
Python + OpenCV
25. Teaching Certifications
*Studied Learning how to learn with Barbra Oaklay from Oakland University
*Learning how to teach youth from Arizona State University (waiting for
Exam)
*Uncommon Sense Teaching (In progress)
*Practical Teaching with Technology (In progress)
26. Subjects I teach (more details here)
*American syllabus from college Board (AP CS A)
*IGCSE CS A- Level
27. Testimonials
“Mr. Ahmed is dedicated to helping my
daughter achieve her goals and is able to
easily explain difficult concepts” Madam Lee
“So far from a few tutors for A-Levels
Computer Science I’ve tried, Mr Ahmed has
been the best at explaining at teaching the
concepts so far” Joy Chandran
“The class went smoothly and it was very
understandable, i liked that you were not too
slow but fast in a good way” Al-Shammry
28. Qualifications (more details here)
I am professional computer engineer with certificates from Stanford, Alberta,
and California Irvine universities.
29. Why should you you hire me ?
I experienced the software development process
I have worked with world class teams from all over the
world
I developed software solutions on international level
I listen to my students and enjoy seeing them excel
30. At the End
Thank you for your time
https://elmalla.info/#portfolio
31. Smart Cameras Projects (more details here)
Smart Cameras are used
to detect and locate the
exact position of a 80
micron wire.
Bonding is done using 0.8
mm bonding tip on a 1.2
mm space
32. Desktop application Inspection machine
Desktop application was
developed using VB to
control cartesian robotic
arm with a smart camera
to measure product
dimensions
33. German Passport Machinery (more details here)
German passport
production facility, a trip
for Machine
commissioning
36. Safety Syringe Machinery
Worked with swiss teams
around the globe to deliver
MedTech machinery for US
customers.
Safety syringe is being
inspected with smart
cameras
37. AWCS system Installation (more details here)
Installation of an
automated waste
collection system in the
city of Vällingby Parkstad,
Sweden