Contents on both data analytics and data science are almost 90% similar except data science program include one end-to-end supervised machine learning project (in text mining) at the end of the training.
Data science techniques help facilitate and translate results into business solutions and communicate their findings in a way that has a positive affect on a business decision.
Defined in two modes
Comprehensive hands on program giving you the utmost confidence you need to be better competent.
Periodic evaluation and assessment will help you stay aligned and forward.
Our Learning Management System will help you access resources you need in pursuit of your learnings.
Day 1 - 8hrs
- Intro to DataScience using R.
- Data Manipulation and Processing.
- Data Exploration.
- HANDS on Activity on Data scrapping using R programming.
Day 2 - 8hrs
- Correlation & Regression.
- Hypothesis testing.
Day 3 - 8hrs
- Simple & Multiple Linear Regression.
- Logistic Regression.
Day 4 - 8hrs
- Support Vector Machine.
- Decision Trees
- Random Forest
Day 5 - 8hrs
HAND’s on Project on Text Mining - using Bayes approach (Multinomial Document Model)
Focus on foundation and fundamentals.
Work toward specific or predefined business problems.
Create data stories to conduct meaningful analysis.
Total hands-on for a better exposure and experience.
Learn the technology backed with comprehensive Learning Management System.
Access to more interactive sessions.
Fundamental skills is all that is needed.
Will be an up-hill task but with time & practice you can make it sharper.
No, statistics is the foundation to analytics.
Data scientist, Analytics expert.
You will see a linear growth in your career.
Plenty, the program will cover that plenty.