Braingroom

The course is taken by Dinesh Babu a CBAP certified professional and a Senior Business Analyst. He undertakes Data Analysis Training for Indian as well as students overseas. During his teaching with spans over 8 years, his deep knowledge and expertise on the subject have won his several awards the most notable of which is the Best Data Science Teacher in Delhi- 2017.
This course gives an introduction to the field of business intelligence and business analytics-domains which extensively use data to make decisions. The course delves into statistics, quantitative analysis, exploratory predictive models, and fact-based management which are indispensable tools for any aspiring data scientist/analyst.

The course gives you a comprehensive understanding of Machine Learning right from basic to advanced levels. Even Students without a basic understanding of Machine Learning can take up this course.
The Machine Learning course will cover the following topic such Introduction to Machine Learning, Numpy Packages and its Handson, Pandas Packages and its Handson, Data Preparation Process and EDA, Linear Regression and its Application, ANOVA - Analysis of Variance, ANCOVA - Analysis of Covariance, Time Series, Marketing Analytics and its Case Study, Finance Analytics and its Application, etc.,

Course Details

Highlights

• We have live primetime questions support in the app itself with the tutor (https://play.google.com/store/apps/details?id=com.braingroom.user)
• 20minute rule Quiz questions on topics learned in the interval of every twenty minutes
• Weekly assignments and pre reading / post-reading content will be shared as project material
• Curated course conducted with inputs from industry experts
• Internship opportunities for students qualifying for the final evaluation, We are partnering with several tech startups across India to give students real-time work experience
• Internship with various startups in India for individuals who clears the Company's assessment
• Tutor time Live Q & A Session with Tutor once a week
• Online classes can be taken at any place and at any time as per the learner's convenience & availability