Size: 17.44 GB
Data Science by IITian – Data Science : Statistics, Data Science: Data Visualization, Data Science: Data Pre-processing
What you’ll learn
- Learn what is Data Science and how it is helping the modern world!
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What are the benefits of Data Science and Machine Learning
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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
Requirements
- No prior knowledge is required to understand for the Data Science & Machine Learning Course
- 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
Description
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?- 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
- 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
Who is the target audience?
- Anyone who is interested in Data Science can take this course.
- 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
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