Brochure
Enquire- Be Smart and Use Data But How: Answer is Data Science with Python
- FAQ regarding Data Science
- FAQ regarding Python and R programming
- Project Files and Course Documents for Data Science with Python and R
Data Science with R and Python | R Programming
BY
Udemy
Using R programming and Python, obtain a hands-on understanding of the core principles and methods involved in data ...Read more
Online
₹ 2999
Quick Facts
| particular | details | |||
|---|---|---|---|---|
|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Course overview
Python offers a more open-ended approach to data science, whereas R programming is mostly utilized for statistical research. Data analysis and statistics are the main goals of R programming, whereas production and deployment are the main goals of Python. Data Science with R and Python | R Programming certification course is developed by Oak Academy, a learning management system that also offers courses in IOS, Android, Ethical Hacking, IT, Web & Mobile Development, and is made available by Udemy.
Data Science with R and Python | R Programming online course involves 13 hours of prerecorded lectures accompanied by 4 articles and 9 downloadable resources, which is designed for the participants who wish to become certified data scientists by learning the features of Python and R programming. Data Science with R and Python | R Programming online training explains the topics like data visualization, data munging, data analysis, data manipulation, business analytics, data transformation, data frames, Pandas, Numpy, Matplotlib, and more.
The highlights
- Certificate of completion
- Self-paced course
- 23.5 hours of pre-recorded video content
- 4 articles
- 9 downloadable resources
Program offerings
- Online course
- Learning resources
- 30-day money-back guarantee
- Unlimited access
- Accessible on mobile devices and tv
Course and certificate fees
Fees information
₹ 2,999
certificate availability
Yes
certificate providing authority
Udemy
Who it is for
What you will learn
Data science knowledge
Knowledge of python
Business analytics knowledge
Programming skills
R programming
Knowledge of data visualization
Knowledge of numpy
Knowledge of big data
Machine learning
Financial knowledge
After completing the Data Science with R and Python | R Programming online certification, participants will acquire a deeper understanding of the core concepts involved with data science using R programming and python. Participants will explore the functionalities of data frames, data structure, arrays, and matrices for data science operations. Participants will gain knowledge of the techniques and procedures used in data transformation, data analysis, data munging, data visualization, and data manipulation, as well as the functionalities of the libraries like pandas, NumPy, and Matplotlib. Participants will also gain a fundamental understanding of the significance of data science in business intelligence, financial analysis, machine learning, and big data.
The syllabus
Data Science: Python is Easy To Learn
Setting Up Python for Mac and Windows : Python, Data science, R programming
- Installing Anaconda for Windows - Python with R Programming, Python
- Installing Anaconda for Mac - Python R Programming
- Let's Meet Jupyter Notebook for Windows - Python data science
- Basics of Jupyter Notebook for Mac - python data science, r programming
Fundamentals of Python
- Data Types in Python
- Operators in Python
- Conditionals in Python
- Loops in Python
- Lists, Tuples, Dictionaries and Sets in Python
- Data Type Operators and Methods in Python
- Modules in Python
- Functions in Python
- Exercise Analyse in Python Programming
- Exercise Solution in Python Programming
Python For Data Science: Data Science
- What Is Data Science?
- Data Literacy in Python
- Python Data Science Quiz
Using Numpy for Data Manipulation
- What is Numpy?
- Array and Features in Python Numpy
- Array Operators in Python Numpy
- Indexing and Slicing in Python Numpy
- Numpy Exercises in Python Numpy
Pandas: Using Pandas for Data Manipulation
- What is Pandas?
- Series and Features in Pandas
Data Frame with Pandas
- Data Frame Attributes and Methods in Pandas Python
- Data Frame Attributes and Methods Part – II in Pandas Python
- Data Frame Attributes and Methods Part – III in Pandas Python
- Multi Index in Pandas Python
- Groupby Operations in Pandas Python
- Missing Data and Data Munging in Pandas Python
- Missing Data and Data Munging Part II in Pandas Python
- How We Deal with Missing Data in Pandas Python?
- Combining Data Frames in Pandas Python
- Combining Data Frames Part – II in Pandas Python
- Work with Dataset Files in Pandas Python
- Data Science ( Python and R ) Quiz
- Data Science ( Python and R ) Quiz
Python For Data Science: Data Visualization
- What is Matplotlib?
- Using Matplotlib
- Pyplot – Pylab - Matplotlib
- Figure, Subplot and Axes in Python Matplotlib
- Figure Customization in Python Matplotlib
- Plot Customization in Python Matplotlib
Data Science: Hands-On Projects
- Analyse Data With Different Data Sets: Titanic Project
- Titanic Project Answers in Data Analysis
- Project II: Bike Sharing in Data Analysis
- Bike Sharing Project Answers in Data Analysis
- Project III: Housing and Property Sales in Data Analysis
- Answer for Housing and Property Sales Project in Data Analysis
- Project IV: English Premier League in Data Analysis
- Answers for English Premier League Project in Data Analysis
Environment Installation for R
- Downloading and Installing R & R Studio
- R Console Versus R Studio
Data Management in R
- Getting Data into R
- Data Manipulation in R programming
- Graphs and Charts in R programming
Examining and Managing Data Structures in R
- Vector Basics in R Programming
- Atomic Vector Types in R Programming
- Converting Data Types of Atomic Vectors in R Programming
- Test Functions in R Programming
- Vector Recycling and Iterations in R Programming
- Naming Vectors in R Programming
- Subsetting Vectors in R Programming
Lists in R Programming
- Lists in R Programming
Arrays in Python R Programming
- Arrays in Python R Programming
- Subsections of an Array in Python R Programming
Matrices in Python R Programming
- Matrices in Python R Programming
- Naming Matrix Row and Columns in Python R Programming
- Calculating With Matrices in Python R Programming
Data Frames in Python R Programming
- Introduction to Data Frames in Python R Programming
- Naming Variables and Observations in DF in Python R Programming
- Manipulating Values in DF
- Adding and Removing Variables in Python R Programming
- Tibbles in R
Factors in Python R Programming
- Introduction to Factors
- Manipulating Categorical Data with Forcats
Data Transformation in R
- Introduction to Data Transformation in R
- Select Columns with Select Function in R
- Filtering Rows with Filter Function in R
- Arranging Rows with Arrange Function in R
- Adding New Variables with Mutate Function in R
- Grouped Summaries with Summarize Function in R
Bonus - Data science, R programming, Python and R
- Bonus - Python data science, python and r, R programming
Articles
Popular Articles
prev
next
