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Learning Python for Data Analysis and Visualization Ver 1
BY
Udemy
Learn about data formats and integrate them to analyse, visualise, and display with the Learning Python for Data ...Read more
Online
₹ 699 4099
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
Learning Python for Data Analysis and Visualization online course is designed to help the participants learn how to programme with Python and use it to analyse data in conjunction with scientific computing modules and libraries. The Learning Python for Data Analysis and Visualization course is offered by Udemy Inc., a provider of online courses for professionals and beginners.
Learning Python for Data Analysis and Visualization training involves NumPy & pandas Jupyter notebook, data visualisation seaborn, JSON, HTML, MS Excel Worksheets to help learners understand the methods to construct, analyse and manipulate data. The course also provides content on machine learning with python.
The Learning Python for Data Analysis and Visualization certification course also provides lifelong access to over 100 sample python code notebooks, new and updated videos, and assures future updates of other data analysis projects to utilise as a portfolio to showcase hiring managers. Candidates have to pay Rs. 3,499 by any online mode of payment who wish to enrol themselves in the course.
The highlights
- Certificate of completion
- Self-paced course
- Online course
- English videos with multi-language subtitles
- 21 hours of pre-recorded video content
- 30-day money-back guarantee
- Unlimited access
- Accessible on mobile devices and TV
Program offerings
- Certificate of completion
- Self-paced course
- English videos with multi-language subtitles
- 21 hours of pre-recorded video content
- 3 articles
- 4 downloadable resources
- 30-day money-back guarantee
- Unlimited access
- Accessible on mobile devices and tv
Course and certificate fees
Fees information
₹ 699 ₹4,099
certificate availability
Yes
certificate providing authority
Udemy
Who it is for
What you will learn
Knowledge of data visualization
Knowledge of excel
After completing Learning Python for Data Analysis and Visualization online certification, learners will be able to develop skills in python programming and use NumPy to create and manipulate arrays. Learners will be able to build a portfolio of different data analysis and data visualization projects in data formats including JSON, HTML, MS Excel worksheets.
The syllabus
Intro to Course and Python
Setup
- Installation Setup and Overview
- IDEs and Course Resources
- iPython/Jupyter Notebook Overview
Learning Numpy
- Intro to numpy
- Creating arrays
- Using arrays and scalars
- Indexing Arrays
- Array Transposition
- Universal Array Function
- Array Processing
- Array Input and Output
Intro To Pnadas
- Series
- DataFrames
- Index objects
- Reindex
- Drop Entry
- Selecting Entries
- Data Alignment
- Rank and Sort
- Summary Statistics
- Missing Data
- Index Hierarchy
Working with Data: Part 1
- Reading and Writing Text Files
- JSON with Python
- HTML with Python
- Microsoft Excel files with Python
Working with Data: Part 2
- Merge
- Merge on Index
- Concatenate
- Combining DataFrames
- Reshaping
- Pivoting
- Duplicates in DataFrames
- Mapping
- Replace
- Rename Index
- Binning
- Outliers
- Permutation
Working with Data: Part 3
- GroupBy on DataFrames
- GroupBy on Dict and Series
- Aggregation
- Splitting Applying and Combining
- Cross Tabulation
Data Visualization
- Installing Seaborn
- Histograms
- Kernel Density Estimate Plots
- Combining Plot Styles
- Box and Violin Plots
- Regression Plots
- Heatmaps and Clustered Matrices
Example Project
- Data Projects Preview
- Intro to Data Projects
- Titanic Project - Part 1
- Titanic Project - Part 2
- Titanic Project - Part 3
- Titanic Project - Part 4
- Intro to Data Project - Stock Market Analysis
- Data Project - Stock Market Analysis Part 1
- Data Project - Stock Market Analysis Part 2
- Data Project - Stock Market Analysis Part 3
- Data Project - Stock Market Analysis Part 4
- Data Project - Stock Market Analysis Part 5
- Data Project - Intro to Election Analysis
- Data Project - Election Analysis Part 1
- Data Project - Election Analysis Part 2
- Data Project - Election Analysis Part 3
- Data Project - Election Analysis Part 4
Machine Leraning
- Introduction to Machine Learning with SciKit Learn
- Linear Regression Part 1
- Linear Regression Part 2
- Linear Regression Part 3
- Linear Regression Part 4
- Logistic Regression Part 1
- Logistic Regression Part 2
- Logistic Regression Part 3
- Logistic Regression Part 4
- Multi-Class Classification Part 1 - Logistic Regression
- Multi-Class Classification Part 2 - k Nearest Neighbor
- Support Vector Machines Part 1
- Support Vector Machines - Part 2
- Naive Bayes Part 1
- Naive Bayes Part 2
- Decision Trees and Random Forests
- Natural Language Processing Part 1
- Natural Language Processing Part 2
- Natural Language Processing Part 3
- Natural Language Processing Part 4
Appendix: Statistics Overview
- Intro to Appendix B
- Discrete Uniform Distribution
- Continuous Uniform Distribution
- Binomial Distribution
- Poisson Distribution
- Normal Distribution
- Sampling Techniques
- T-Distribution
- Hypothesis Testing and Confidence Intervals
- Chi-Square Test and Distribution
- Bayes Theorem
Appendix: SQL and Python
- Introduction to SQL with Python
- SQL - SELECT,DISTINCT,WHERE,AND & OR
- SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions
Appendix: Web Scraping with Python
- Web Scraping Part 1
- Web Scraping Part 2
Appendix: Python Special offers
- Python Overview Part 1
- Python Overview Part 2
- Python Overview Part 3
BONUS SECTION: THANK YOU!
- Bonus Lecture
Instructors
Articles
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