R Programming 2022:Ninja Course With 5 Real World Projects!
What you'll learn
- R Programming
- R Datatypes
- R Data Structures
- Vectors, Matrices, Arrays, Lists
- Data analysis
- Data Visualization using GGPLOT2
- Case Studies on Data analysis using R
- Projects on Data analysis using R
- Data Cleaning
- Data Transformations using tidyr, Dplyr
- String Manipulations using Stringr
- Handling Date and Time using Lubridate
- Projects on Data Visualization using R
Data Science and Analytics is a highly rewarding career that allows you to solve some of the world’s most interesting problems. The field of data science has exploded in the past two decades and shows no signs of stopping any time soon. Many big or small businesses and companies wish to make use of the insights gained through the big data.
Due to its open-source nature and its extreme versatility, R has become the primary tool for statistical analysis and data science. With the industry facing a shortage of data scientists all over the world, both novice and professional R programmers can enter. R community represents the cutting-edge in the field of data science.
This course is made to give you all the required knowledge at the beginning of your journey, so that you don’t have to go back and look at the topics again at any other place. This course is the ultimate destination with all the knowledge, tips and trick you would require to start your career.
This course provides Full-fledged knowledge of R, we cover it all.
Our exotic journey will include the concepts of:
What’s and Why’s of R programming Language – Understanding the need for Statistics, difference between Population and Samples, various Sampling Techniques.
Core knowledge for DataTypes.
String Manipulation and handling using Stringr Package
Data Structures (Vectors, Matrices, Arrays, List)
Loops and Conditions and Functions for programming skills in R.
Dataframes explained in detail and perspective for Data Analysis Process and Concepts.
Most importantly Data Transformations have been covered to make you comfortable with how data should be handled and transformed for analysis.
Date Time Module helps to understand and handle date and time in R.
Descriptive Statistics allows to explore the data summaries for statistics.
Data Visualization using GGPLOT2 used for simple and complex visual analysis.
All the modules include practice questions and case studies to give you idea on the real world problems and enhancing problem solving skills.
5 Projects allow you to perform analysis on datasets with scope for further exploring and enhancing skills while building confidence.
Who this course is for:
I have done B.tech in Computer Science Engineering and 10 + years of experience as a professional instructor and trainer for Data Science and programming. During the course of my career I have developed a skill set in analyzing data and I love sharing my knowledge to help other people learn the power of programming, the ability to analyze data, as well as present the data in clear and beautiful visualizations.
I am a Data Scientist and have experience in python, Deep learning, NLP and Big Data. I provide in-person data science, Machine Learning and Deep Learning training to Data science enthusiasts with 0 to 30+ years of Experience. I believe in learning by doing, hence all of my courses will give an in-depth knowledge of concepts followed by detailed explanations of codes, tips and tricks which I have learnt over years. The sample problems and examples will allow you to explore more and give you enough practice to gain confidence at each and every concept. I am here to help you stay on the cutting edge of Data Science and Technology.
To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!