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- What are the benefits of Data Science and Machine Learning
- Able to Solve Data Science Related Problem with the Help of R Programming
- Why R is a Must Have for Data Science , AI and Machine Learning!
- Right Guidance of the Path if You want to be a Data Scientist + Data science Interview Preparation Guide
- How to switch career in Data Science?
- R Data Structure - Matrix, Array, Data Frame, Factor, List
- Work with R’s conditional statements, functions, and loops
- Systematically Explore data in R
- Data Science Package: Dplyr , GGPlot 2
- Index, slice, and Subset Data
- Get your data in and out of R - CSV, Excel, Database, Web, Text Data
- Data Visualization : plot different types of data & draw insights like: Line Chart, Bar Plot, Pie Chart, Histogram, Density Plot, Box Plot, 3D Plot, Mosaic Plot
- Data Manipulation - Apply function, mutate(), filter(), arrange (), summarise(), groupby(), date in R
- Statistics - A Must have for Data Sciecne
- Hypothesis Testing
- Have fun with real Life Data Sets
- Learn what is Data Science and how it is helping the modern world!
- R Software will be used in the course. Installation and use of R will be taught in the course.
- All Software and data used in the course are free
- No prior knowledge is required to understand for the Data Science & Machine Learning Course
Are you planing to build your career in Data Science in This Year?
Do you the the Average Salary of a Data Scientist is $100,000/yr?
Do you know over 10 Million+ New Job will be created for the Data Science Filed in Just Next 3 years??
If you are a Student / a Job Holder/ a Job Seeker then it is the Right time for you to go for Data Science!
Do you Ever Wonder that Data Science is the "Hottest" Job Globally in 2018 - 2019!
>> 30+ Hours Video
>> 4 Capstone Projects
>> 8+ Case Studies
>> 24x7 Support
What Projects We are Going to Cover In the Course?
Project 1- Titanic Case Study which is based on Classification Problem.
Project 2 - E-commerce Sale Data Analysis - based on Regression.
Project 3 - Customer Segmentation which is based on Unsupervised learning.
Final Project - Market Basket Analysis - based on Association rule mining
Why Data Science is a MUST HAVE for Now A Days?
The Answer Why Data Science is a Must have for Now a days will take a lot of time to explain. Let's have a look into the Company name who are using Data Science and Machine Learning. Then You will get the Idea How it BOOST your Salary if you have Depth Knowledge in Data Science & Machine Learning!
What Students Are Saying:
"A great course to kick-start journey in Machine Learning. It gives a clear contextual overview in most areas of Machine Learning . The effort in explaining the intuition of algorithms is especially useful"
- John Doe, Co-Founder, Impressive LLC
I simply love this course and I definitely learned a ton of new concepts.
Nevertheless, I wish there was some real life examples at the end of the course. A few homework problems and solutions would’ve been good enough.
- - Brain Dee, Data Scientist
It was amazing experience. I really liked the course. The way the trainers explained the concepts were too good. The only think which I thought was missing was more of real world datasets and application in the course. Overall it was great experience. The course will really help the beginners to gain knowledge. Cheers to the team
- - Devon Smeeth, Software Developer
Above, we just give you a very few examples why you Should move into Data Science and Test the Hot Demanding Job Market Ever Created!
The Good News is That From this Hands On Data Science and Machine Learning in R course You will Learn All the Knowledge what you need to be a MASTER in Data Science.
Why Data Science is a MUST HAVE for Now A Days?
The Answer Why Data Science is a Must have for Now a days will take a lot of time to explain. Let's have a look into the Company name who are using Data Science and Machine Learning. Then You will get the Idea How it BOOST your Salary if you have Depth Knowledge in Data Science & Machine Learning!
Here we list a Very Few Companies : -
- Google - For Advertise Serving, Advertise Targeting, Self Driving Car, Super Computer, Google Home etc. Google use Data Science + ML + AI to Take Decision
- Apple: Apple Use Data Science in different places like: Siri, Face Detection etc
- Facebook: Data Science , Machine Learning and AI used in Graph Algorithm for Find a Friend, Photo Tagging, Advertising Targeting, Chat bot, Face Detection etc
- NASA: Use Data Science For different Purpose
- Microsoft: Amplifying human ingenuity with Data Science
Why Choose This Data Science with R Course?
- We not only "How" to do it but also Cover "WHY" to do it?
- Theory explained by Hands On Example!
- 30+ Hours Long Data Science Course
- 100+ Study Materials on Each and Every Topic of Data Science!
- Code Templates are Ready to Download! Save a lot of Time
- Learn what is Data science and how Data Science is helping the modern world!
- What are the benefits of Data Science , Machine Learning and Artificial Intelligence
- Able to Solve Data Science Related Problem with the Help of R Programming
- Why R is a Must Have for Data Science , AI and Machine Learning!
- Right Guidance of the Path if You want to be a Data Scientist + Data Science Interview Preparation Guide
- How to switch career in Data Science?
- R Data Structure - Matrix, Array, Data Frame, Factor, List
- Work with R’s conditional statements, functions, and loops
- Systematically explore data in R
- Data Science Package: Dplyr , GGPlot 2
- Index, slice, and Subset Data
- Get your data in and out of R - CSV, Excel, Database, Web, Text Data
- Data Science - Data Visualization : plot different types of data & draw insights like: Line Chart, Bar Plot, Pie Chart, Histogram, Density Plot, Box Plot, 3D Plot, Mosaic Plot
- Data Science - Data Manipulation - Apply function, mutate(), filter(), arrange (), summarise(), groupby(), date in R
- Statistics - A Must have for Data Science
- Data Science - Hypothesis Testing
- Business Use Case Understanding
- Data Pre-processing
- Supervised Learning
- Logistic Regression
- K-NN
- SVM
- Naive Bayes
- Decision Tree
- Random Forest
- K-Mean Clustering
- Hierarchical Clustering
- DBScan Clustering
- PCA (Principal Component Analysis)
- Association Rule Mining
- Model Deployment
- Aspiring Data Scientists
- Anyone who wants to switch his career in Data Science/Analytics/Machine Learning should take this course.
- Beginners to any Programming and Interested In the Amazing world of Machine Learning , Artificial Intelligence & Data Science
- People interested in Statistics and Data Analysis
- Anyone who is interested in Data Science can take this course.
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