This is the most comprehensive Data Science course available, covering all steps of the Data Science process from Data Integration, Data Manipulation, Descriptive Analytics and Visualization to Statistical Analysis, Predictive Analytics and Machine Learning models, using the most in-demand tools like R, Python, SAS, and Tableau. It will enable you to master all three elements of Data Science - Statistics, Tools, and Business Knowledge via the elective offered

1. Program duration:24 weeks

2. Students study at the rate of10 hours/week

3. Access duration is 15 months

MODULES INCLUDED

Data Wrangling and Advanced Manipulation

• An Overview of Analytics and Data Science

• Analytics Methodology and Problem Solving Frameworks

• Models & Algorithms

Statistical Analysis

• Descriptive Statistics

• Data Visualization with Excel

• Data Analysis Methods: Data Visualization with Excel

R for Data Science

• Introduction to R

• Simple data processing with R

• Data Visualization with R

Data Wrangling and EDA with R

• Data Pre-Processing - Data Preparation

• Data Pre-Processing - Data Preparation

Testing Hypothesis with Data

• Introduction to Inferential Statistics and Probability concepts

• Hypothesis Testing Concepts and Frameworks

• Advanced Hypothesis Testing

Predictive Analytics with R

• Linear Regression

• Logistic Regression

• Time Series Forecasting in R

Python for Machine Learning

• Introduction to Python

• Introduction to Pandas

• Data Manipulation with Pandas

• MatplotLib

Machine Learning with Python

• Introduction to Machine Learning

• Introduction to Linear Regression

• Linear Regression - Introduction to Overfit

• Logistic Regression

• Tree Based Models

• Neural Networks

• Convolutional Neural Network

• ML in R: Linear Regression

• ML in R: Logistic Regression and Decision Trees

• ML in R: Tree Based Models

Capstone Data Science

• Project

• Assignments

SAS for Data Science (Optional)

• An Introduction to the SAS language

• Data Import into SAS

• Data Manipulation with SAS

• Advanced Data Manipulation with SAS

Storytelling with Tableau

• Visualisation with Tableau

Salary Range:

India – INR.6 lakhs to 12 lakhs at the entry level

Global – $65,000 to $130,000

What does a Data Scientist do?

Prepares, manipulates and andanalyzes data. Tells stories and provides insights from data to guide business decision.

The Growth Curve ahead:

Lead Data Scientist or Chief Data Scientist – Handles teams with multiple data scientists

Data Science Project Manager –  Manages projects for different clients

Domains Data Scientists work in:

Retail, eCommerce, Banks, Telecom, FMCG, Manufacturing and other domains where data is generated.

WHAT YOU GET

The Catalyst Approach

Learn through video lectures, live question and answer sessions conducted by the faculty, assignments, interactive case study workshops with senior faculty and industry mentors. Know more.

Jigsaw Learning Center

Gain free access to a variety of resources like handouts, reference material, guides, lecture transcripts and student forums for your course duration

Faculty Assistance

Get all your course-related queries solved by the Jigsaw Faculty via email, phone and chat for your program duration.

Q&A Sessions

Have questions? Ask our analytics mentors during the 2 hour Q&A session every Saturday for your program duration

Jigsaw Lab

Access to a cloud-based solution, for hands-on experience with real-life business data using the latest analytical tools.

Career Counseling

Avail professional guidance on resume building, interview preparation and identification of relevant opportunities, for the analytics field.

Mobile App

Learn on the go, wherever you are with a LIFETIME access to Jigsaw's course videos

General Support

We have your back! Our student support teams are available on the weekends for call and 24/7 on email for your course duration

FINAL OUTCOME

After completing this ,you would have mastered the most popular analytical tools – SAS, R, Python and Tableau Your exhaustive data science skill set would enable you to build your analytics career in a better way.