Data Science Certification USD₹899/-
About this course
Data Science is a field that uses various tools, methods, algorithms and systems to extract meaning from data and find patterns. Massive amounts of data is being generated on a daily basis through various sources and organisations are leveraging this data to understand the market and attract better business prospects. The demand for data scientists is on a rise in both industries and academics.
Gain a hands-on-experience in using various tools of analytics, including ‘R’, SQL and Tableau while gaining an insight into the real-world cases with this instructor-led live online classes. This data science using ‘R’ course provides a project-based practical learning experience for learners from all academic and professional backgrounds.
Course Start Dates
Who should enroll to course
This course is meant for people looking to learn Data Science. We will start out to understand the pre-requisites, and then go on to solve case studies using Data Science concepts.
When will the classes be held in this course?
There are 2 ways Self Paced and Online classes. Online classes would be held Saturday and Sundays. .
How many should i practice to complete the course?
If you can put between 6 to 8 hours a week, you should be able to finish the course in 6 to 8 weeks..
What is the refund policy?
The fee for this course is non-refundable..
we cover every R skill you might need, you’ll build a strong foundation for concepts such as probability, inference, regression and machine learning. We help you develop a skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux, version control with git and GitHub, and reproducible document preparation with RStudio.
Introduction to Data Analytics & Data Science Class
Tools for Professional Approach: It’s not just about learning, it’s about having the confidence to use English in real life and upgrade your business communication skills.
Foundation of Visual Analytics and Data Visualisation
Tools for Professional Approach - Step 2: It’s not just about learning, it’s about having the confidence to use English in real life and upgrade your business communication skills.
Data Manipulation and Cleaning
Statistics Foundations for Data Science
Hypothesis testing and Estimation for Data
Linear Regression - Univariate and Multivariate using R
Logistic Regression using R
Clustering & Segmentation of Data - K-means technique in R
Decision Trees - CHAID and CART techniques in R
Market Basket Analysis for Recommendation Engines using R
Text Mining in R and Sentiment Analytics
ARIMA Time Series forecasting in R