• Free

Getting Started with R for Data Science

Learn basics of statistics and R programming for Data Scientist. 

Fill the Massive Skill Gap:

1.5 Lakh Jobs are vacant in Data Science by the 2021 year ending, due to massive skill gap between candidates and companies. 
✅To get a job in Data Science/AI, One must build a portfolio.
✅Learners are wasting more time than money due to improper roadmap on Data Science/AI
✅To speak with the mentor on Instagram: https://www.instagram.com/meet_kanth/
✅The only course which builds real-time experience on Data Science/Machine Learning/AI/Data Analytics✅
🔥Join our BEPEC Data Science/AI/Machine Learning Career Transition Program:
Video one-on-one personalised roadmap discussion with the mentor before the program
Enroll Our Career Transition Program on Data Science/AI/Machine Learning contains below topics
1. Induction Classes
2. Mastering Python from basics
3. Statistics, ML, NLP & Advanced ML
4. AI/MLOps
5. CMLA for Data Science Lifecycle
6. Tableau
7. Deep Learning
8. Forecasting
9. MySQL
10. Paid Internship with BEPEC on Data Science/AI
11. Data Science with R & Julia
12. AIOps with Dynatrace
13. AWS Sagemaker Studio
Key Takeaways:
1. Internship while learning the course
2. Paid Internship Opportunity while learning course(You need to crack interview)
3. Unique Live Projects which increases your resume selection
4. 3+ POC's which are mandatory for interviews
5. Customised Career Transition Roadmap based on learners challenges
6. 100% Support until you get placed
7. Flexible entry & exit points, you can attend training any number of times until you get placed.
8. 4 Examinations & One Final Examination with Video & Paper Based Submission
9. You get a "Certificate of Appreciation" based on your project work on Data Science Real-Time Projects
10. Community to work on Group Projects
11. 50+ Assignments to work
12. Weekly Video Interview Preparation Sessions
Book your slots, before getting on the waiting list.
www.bepec.in/registration-form

1. Introduction to Data Science

Introduction to Data Science.mp4

2. Installation of R & R Studio

Installation of R _ R Studio.mp4

3. Basics of R Studio

Basics of R Studio.mp4

4. Data Visualisation with R

Data Visualization with R Studio.mp4

5. Data Modelling with R

Data Modelling with R Studio.mp4
Data Joining with R Studio.mp4
Data Visualization with ggplot2.mp4
Data Preparation with RStudio.mp4
Data Cleaning with RegExp.mp4
Company Casestudy_ Data Visualization.mp4
Data Visualization with Plotly.mp4

Contents

1. Introduction to Data Science

Introduction to Data Science.mp4

2. Installation of R & R Studio

Installation of R _ R Studio.mp4

3. Basics of R Studio

Basics of R Studio.mp4

4. Data Visualisation with R

Data Visualization with R Studio.mp4

5. Data Modelling with R

Data Modelling with R Studio.mp4
Data Joining with R Studio.mp4
Data Visualization with ggplot2.mp4
Data Preparation with RStudio.mp4
Data Cleaning with RegExp.mp4
Company Casestudy_ Data Visualization.mp4
Data Visualization with Plotly.mp4