What you get
Faculty & Technical Support
Mobile App Access
Tools & Curriculum Covered
An Introduction to Data Science and an Overview of the Course
Analytics Methodology and Problem Solving Frameworks
Statistics 1 - Descriptive Statistics
Statistics 2 - Inferential Statistics (Probability Distributions)
Statistics 3 - Hypothesis Testing
Statistics 4 - Advanced Hypothesis Testing
Case Study - Sales and Marketing effectiveness
An Introduction to R
Case Study - Creating different data structures in R and importing Excel workbook into R
Manipulating data with R
Case Study - Understanding the flights delay data
Data Visualization with R
Case Study - Extracting insights from Forbes data
Models and Algorithms
Data Pre-Processing - Data Exploration
Case Study - Exploratory Analysis of Response Model Data
Data Pre-Processing - Data Preparation
Case Study - Campaign Response Data - Exploration and Preparation
Predictive Analytics - Linear Regression Models
Case Study - Direct Marketing
Case Study - Predicting the Price of Houses in Boston City
Predictive Analytics - Logistic Regression Models
Case Study - Credit Card Spend Patterns
Machine Learning - Clustering Models
Case Study - Finding a Replacement for a Football Player in the Team using Clustering
Machine Learning - Decision Tree Models
Case Study - Building a Default Risk Scorecard Model
Case Study - Predicting Debit Card Usage Based on Historical Spends
Time Series Forecasting
Capstone Project and Course Wrap
Capstone Project - Building a Churn Scorecard for Telecom
Project Documentation and Deployment (Optional)
Best Practices (Optional)
Career Services (Optional)
Model Validation and Interpretation (Optional)
Advanced R Programming (Optional)
Advanced Data Manipulation with Excel (Optional)
Introduction to Text Mining (Optional)
Introduction to SQL (Optional)
Get Started with Kaggle (Optional)
Data Visualisation (Optional)
You can start by browsing through our Explore Analytics section. You could also visit our Analytics Training blog for more reading material, reports and in-depth articles on other topics like data science, machine learning, artificial intelligence, Big Data and IOT. If you’d prefer watching videos, head over to our Youtube channel.
Participants can pay through an online transfer, debit card or credit card (Visa, Master Card and Amex). Foreign students can pay via credit card or PayPal.
Our programs have been designed for all students regardless of any prior knowledge of analytics, statistics or coding. We have had and continue to have many successful students who are from non-IT or non-mathematics backgrounds. But the subject matter is quantitative, and hence a background in maths, statistics or coding is helpful. If you have specific questions regarding eligibility or prerequisites for any program, please contact us at +91 9019217000.
Jigsaw Academy has been at the forefront of analytics in India for the last 8 years. In that time, the institute has been ranked #1 in the country by Analytics India Magazine multiple times, including for the last three years running. With our expert faculty and carefully designed courses, we have been able to help several students build towards a career in analytics. We also have ongoing collaborations with prestigious institutes such as the University of Chicago and Bocconi University in Milan. In addition to individuals, we are also invested in providing high-quality analytics training at the corporate level.
Data Science with R training will not only equip the learners with adequate knowledge about the language but also provide a competitive edge in the competitive world as well. The course provides all-encompassing knowledge regarding the language and offers a new perspective towards dealing data science with R. Businesses are looking to hire a qualified and proficient data scientist who can work in different network scenarios and deal with complex issues. If you choose to learn data science with R, it can provide you with better and wider opportunities in the industry. Place yourself as a competitive and reliable data science professional by trying your hands in data science and R programming.
There are plenty of reasons to choose data science with R programming.It is essential to understand its significance in the industry and opt for the course at the earliest. Here are a few benefits that you can avail after completing the course-:
- Land High Paying Jobs: Data science is a hot topic now, opting for data science with R course can offer you higher-paying jobs in big corporates.
- R is Necessary for Top Companies: A majority of conglomerates prefer R programming for data science due to a wide range of statistical and graphical capabilities for implementing better programming solutions.
- Great For Data Wrangling: Data sets can be complex; data wrangling is the process to clean such data mess. R programming is the ideal tool for data wrangling that a majority of companies use today.
- Better Data Visualization: The visual representation of data often becomes important, and R programming is a great tool for the statistical representation of data. You can learn all that through our Data Science with R programming course.