Data Science
Data Science
A One Stop Source for aspiring applicants to start their career in Data Science.
- Learn SQL, R, SAS, Python, Business Analytics & Machine Learning in this comprehensive course
- Acquire Real world experience in Analytics with live projects
- Training delivered by Industry Practitioners with more than a decade of Professional Experience
- Hands on experience
- Explore a diverse range of tools, techniques and commercial use cases in a clear and easy way
- 100% Job Assistance
- Life time Query & Career Mentoring Support
A Comprehensive program designed by the Industry experts for the aspirants to gain expertise and exploit in Data Science Career. We will acquaint you with the scientific world of data and help to improve your skills to make you a data professional.
The course is developed taking into account the requirements of a new wave of demand for specialists with strong analytics. It aims to equip with all the conceptual and technical skills required for the ultimate position in analytics industry. The course let you master in Data Science process from Data Integration, Data Manipulation, Descriptive Analysis and Visualization to Statistical Analysis, Predictive Analytics and Machine Learning, using the most requested tools like R, Python, SAS and Tableau. It will allow you to master all three elements of Data Science: statistics, tools and business knowledge through the elective offered.
At the end of the course you will be able to learn time series analysis and business analytics with the live industry oriented case study projects to give you an in-depth understanding on how data science moves industries of Telecom, Transport, E-Commerce, Retail etc.
The program will comprehensively cover the following concepts
1. Introduction to business analytics
2. Fundamentals of R
3. Univariate statistics in R
4. Data visualization in R
5. Hypothesis testing and ANOVA in R
6. Data preparation using R
7. Introduction to SAS
8. Accessing data in SAS
9. Managing Data in SAS
10. Advanced SAS
11. Predictive analytics in R
- Correlation and Linear regression
- Logistic regression
- Segmentation for marketing analytics
- Time series forecasting
- Decision Trees
12. Predictive analytics in SAS
13. Solving an actual business problem through analytics – Simulating an analytics project
14. Introduction to Python
15. Iterative Operations & Functions in Python
16. Data summary & visualization in Python
17. Data Handling in Python using NumPy & Pandas
18. Data Science & Machine Learning in Python
- Machine Learning Basics
- Generalized Linear Models in Python
- Tree Models using Python
- Boosting Algorithms using Python
- Support Vector Machines (SVM) & kNN in Python
- Unsupervised learning in Python
- Text Mining in Python
- Version Control using Git and Interactive Data Products
