Jigsaw Academy Data Scientist Course


Published on

Published in: Education
  • Be the first to comment

Jigsaw Academy Data Scientist Course

  1. 1. Preparing business ready analytics professionals who are productive from day one!
  2. 2. ABOUT JIGSAW ACADEMY • Is an initiative by IIM Bangalore alumni who have extensive experience in the field of analytics, marketing, off-shoring and education Among Top 8 Best Analytics Training Analytics India Magazine has ranked Jigsaw Academy as the best analytics training institute in India. Jigsaw Academy has been ranked as no. 1 online analytics training institute by Sulekha.com. The magazine writes – “Jigsaw Academy can play a crucial role by identifying and nurturing analytic talent in India”. The website writes – “This unique online platform utilizes a combination of virtual lab and virtual classrooms to offer unique and top notch learning experience.” © Jigsaw Academy Education Pvt. Ltd. At Par with IIT Data Analytics expert and blogger Himanshu Manroa has ranked Jigsaw Academy at par with IIT courses. He writes – “IIT will make you feel good, earn some adulation but Jigsaw will make you more effective, entrench your reputation and earn some real Respect!”
  3. 3. About Jigsaw Academy Emphasis on preparing participants to be productive from Day One! • First of its kind learning academy that provides industry-relevant training and education in the field of analytics to develop business-ready professionals • Carefully-designed courses that are a unique blend of statistics, statistical tools and industry knowledge through real life examples—designed to meet the specific needs of both students and employers • Faculty includes senior industry professionals with specific domains of expertise © Jigsaw Academy Education Pvt. Ltd.
  4. 4. Data Scientist Course R Training Provides thorough training on R software for working with a variety of business problems in domains like retail, financial services, telecom and healthcare Handling Big Data Hands on experience with tools and knowledge needed to work with hadoop databases and further analyze big data using some real time case studies Analytics Techniques Provides an understanding of analytics, usage in business, modeling algorithms as well as the most widely used analytic techniques using case studies and real business situations. Statistics Covers the basics of statistics as well as advanced statistical concepts used in the various analytic techniques. Designed for analytics professionals. Placement Package Covers the soft skills required for the role of a business analyst. Workshops on resume building and interviewing for analytics. Talks by industry experts. © Jigsaw Academy Education Pvt. Ltd.
  5. 5. Data Scientist Course © Jigsaw Academy Education Pvt. Ltd.
  6. 6. About R About R • R is a free and open source environment for computational research and graphics • R is one of the most popular open source analytic tools in the world. It is used by over 2 million analysts worldwide. Companies using R © Jigsaw Academy Education Pvt. Ltd.
  7. 7. Analytics Overview Models and Algorithms Module: Introduction to Analytics Overview of Analytics • What is analytics? • Types of problems in analytics • Case studies of application of analytics in business • When analytics does not work • Analytics vs. data warehousing, OLAP, Statistics • Widely used analytic software • Companies using analytics • Day in the life of a business analyst • Career path in analytics • Qualities of a business analyst © Jigsaw Academy Education Pvt. Ltd. Problem Definition • • • • • • • • • • Basics of problem definition • Case study - Car Insurance • Case study - Credit Cards Modeling Terminology Linear Regression Logistics Regression Decision Trees MARS Rule Induction K-nearest Neural Network Genetic Algorithm Analytic Methodology • • • • • • • • • • • Problem definition Data selection Data exploration Data partition Data cleansing Data transformation Modeling Validation Deployment Assessment Re-start Analytic Tools • • • • • • Overview of Analytic Tools GUI based and Programming based Excel SAS R Others
  8. 8. Working with Big Data Hadoop Module: Big Data Module Big Data Overview • • • • • • What is Big Data? Generators Drivers Characteristics Structured vs. Unstructured Data Challenges Big Data Analytics • Comparison with traditional Analytics • Tools and Technologies • Applications • Sample Case Studies • Project Life Cycle © Jigsaw Academy Education Pvt. Ltd. RHadoop for Big Data • • • • • • • • • • • • • • RDBMS Limitations No-SQL Databases History of Hadoop Why Hadoop Hadoop Ecosystem Big Data Applications Installation Modes Working with Hadoop MapReduce • • • • What is MapReduce? Map Process Reduce Process Anatomy of Map Reduce program Hadoop Components • • • • • HDFS Overview HDFS Architecture HBASE Overview HIVE FLUME R & Hadoop Overview Why Rhadoop? Advantages Installation Configuration Sample Use Cases Final Case Study • Case Study: Twitter Analytics using HIVE and FLUME
  9. 9. Statistics Module: Statistics Statistics • Introduction to statistics • Summary statistics – Mean – Median – Mode – Variance • Random Variables • Probability • Probability distribution – Binomial – Poisson – Normal © Jigsaw Academy Education Pvt. Ltd. • Hypothesis testing – Intuition – Standard approaches • T-test – One sample – Two Sample • Chi-square test – Variance – Association • Multiple Sample Tests – ANOVA – Chi Square • Non parametric testing
  10. 10. Tools Training • Module: R Introduction to R • • • • • • • What is R? Origins of R Current Status R Ecosystem Commercial products How R can help in Business Analytics, Data Mining , Data Visualization R Installation – Windows – Linux – Using VMware for virtual partition – CRAN and Packages © Jigsaw Academy Education Pvt. Ltd. • R Interfaces – Command line – Graphical User Interfaces – IDE – Web Interfaces Advantages and Disadvantages of using R Data Input • • • • • • • Data Import Spreadsheet Like Data Statistical File Formats Databases Internet Data Data from Packages Using GUI for Data Import Data Manipulation • • • • Transposing Dataset Conditional selection of rows, columns, variables Using Reshape Merging Datasets Data Exploration • • • • Types of Data in R Summarizing data in R Using GUI for Data Exploration Graphs in R
  11. 11. Analytics Techniques Module: Analytic Techniques Regression • • • • • • Basics of Regression Linear Regression Logistic Regression Interpretation of modeling results Violation of regression assumptions Insurance Case study Decision Trees • • • • • What are decision trees? Examples of trees Terminology in decision trees Data preparation for trees How to create a tree? © Jigsaw Academy Education Pvt. Ltd. • Measure of effectiveness – Gini – Chi-square – Information gain – Reduction in variance – Others • Application of algorithms • Case study - Fraud detection • Case study - Car Insurance pricing • Use of decision trees • Pros and cons • What makes a good tree? • When to use Decision trees? • Widely used software for Decision trees Clustering • What is clustering • Types of clustering • K-means clustering • • • • • • • • Measures of homogeneity Data prep Hierarchical clustering Cluster evaluation Cluster profiling When to use Important considerations Clustering in SAS - case study on store clustering Pitfalls to avoid while Modeling • • • • • Misleading patterns Biased population Data at wrong level Already known insights Un-actionable insights
  12. 12. Testimonials The whole course is built on the case study and hands on working experience on analytical tools. Needless to say both, Gaurav & Sarita are great individuals and domain experts, and to add to it they keep you connected. Both are very easily approachable; make all possible attempts to resolve the queries/issues. This course has given me totally new perspective, boosted confidence Highly recommended!!‘ Pallavi Joshi, A.V.P. TATA Capital Ltd I will recommend this course to everyone who are still searching for the right analytics course. Jigsaw helped me to understand the concepts very easily. Case studies based on the real data makes you more comfortable if you are new to analytics. Thanks to Sarita and Gaurav who had helped me at every stage during and after the course. Dnyaneshwar Ambhore, Software Engineer at Symantec Corporation The best part of the course is the highly experienced and approachable mentors who are there to clear your doubts, guide you in the right way to fulfil your aspiration to pursue a career in analytics. Thanks to Sarita and Gaurav who have guided me whenever needed. Prateek Agrawal, Analyst- Credit Policy at Citibank India © Jigsaw Academy Education Pvt. Ltd.
  13. 13. TRAINING METHODOLOGY Jigsaw Academy’s Online Education Platform Virtual Classroom Control options Jigsaw Academy uses Adobe’s virtual classroom platform, considered to be one of the best platforms for Live, Online Teaching. Features of the Virtual Classroom Text interaction • Intuitive and easy to use interface • Audio, video and text interaction • No software downloads required • Records the class as it happens, including presenters’ audio and video inputs © Jigsaw Academy Education Pvt. Ltd. Video interaction
  14. 14. CONTACT US • Phone: +91-9243522277, +91-9008017000 • Email: info@jigsawacademy.com • Website: www.jigsawacademy.com • Blog: http://www.analyticstraining.com • FAQs: http://jigsawacademy.com/faqs.html © Jigsaw Academy Education Pvt. Ltd.