Learning Python for Data Analysis and Visualization
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       Video Length : 18h10m0s
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       Tasks Number : 123
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       Students Enrolled : 1184
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       Medium Level
  • Curriculum
  • 1. Intro to Course and Python
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      Course Intro
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      Course FAQs
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  • 2. Setup
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      Installation Setup and Overview
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      IDEs and Course Resources
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      iPython/Jupyter Notebook Overview
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  • 3. Learning Numpy
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      Intro to numpy
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      Creating arrays
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      Using arrays and scalars
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      Indexing Arrays
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      Array Transposition
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      Universal Array Function
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      Array Processing
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      Array Input and Output
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  • 4. Intro to Pandas
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      Series
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      DataFrames
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      Index objects
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      Reindex
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      Drop Entry
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      Selecting Entries
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      Data Alignment
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      Rank and Sort
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      Summary Statistics
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      Missing Data
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      Index Hierarchy
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  • 5. Working with Data: Part 1
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      Reading and Writing Text Files
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      JSON with Python
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      HTML with Python
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      Microsoft Excel files with Python
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  • 6. Working with Data: Part 2
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      Merge
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      Merge on Index
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      Concatenate
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      Combining DataFrames
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      Reshaping
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      Pivoting
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      Duplicates in DataFrames
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      Mapping
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      Replace
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      Rename Index
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      Binning
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      Outliers
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      Permutation
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  • 7. Working with Data: Part 3
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      GroupBy on DataFrames
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      GroupBy on Dict and Series
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      Aggregation
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      Splitting Applying and Combining
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      Cross Tabulation
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  • 8. Data Visualization
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      Installing Seaborn
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      Histograms
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      Kernel Density Estimate Plots
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      Combining Plot Styles
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      Box and Violin Plots
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      Regression Plots
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      Heatmaps and Clustered Matrices
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  • 9. Example Projects.
    • videocam
      Data Projects Preview
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      Intro to Data Projects
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      Titanic Project - Part 1
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      Titanic Project - Part 2
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      Titanic Project - Part 3
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      Titanic Project - Part 4
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      Intro to Data Project - Stock Market Analysis
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      Data Project - Stock Market Analysis Part 1
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      Data Project - Stock Market Analysis Part 2
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      Data Project - Stock Market Analysis Part 3
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      Data Project - Stock Market Analysis Part 4
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      Data Project - Stock Market Analysis Part 5
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      Data Project - Intro to Election Analysis
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      Data Project - Election Analysis Part 1
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      Data Project - Election Analysis Part 2
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      Data Project - Election Analysis Part 3
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      Data Project - Election Analysis Part 4
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  • 10. Machine Learning
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      Introduction to Machine Learning with SciKit Learn
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      Linear Regression Part 1
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      Linear Regression Part 2
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      Linear Regression Part 3
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      Linear Regression Part 4
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      Logistic Regression Part 1
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      Logistic Regression Part 2
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      Logistic Regression Part 3
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      Logistic Regression Part 4
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    • videocam
      Multi Class Classification Part 1 - Logistic Regression
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      Multi Class Classification Part 2 - k Nearest Neighbor
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      Support Vector Machines Part 1
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      Support Vector Machines - Part 2
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      Naive Bayes Part 1
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      Naive Bayes Part 2
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      Decision Trees and Random Forests
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      Natural Language Processing Part 1
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      Natural Language Processing Part 2
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      Natural Language Processing Part 3
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      Natural Language Processing Part 4
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  • 11. Appendix: Statistics Overview
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      Intro to Appendix B
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      Discrete Uniform Distribution
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      Continuous Uniform Distribution
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      Binomial Distribution
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      Poisson Distribution
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      Normal Distribution
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      Sampling Techniques
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      T-Distribution
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      Hypothesis Testing and Confidence Intervals
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      Chi Square Test and Distribution
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      Bayes Theorem
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  • 12. Appendix: SQL and Python
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      Introduction to SQL with Python
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      SQL - SELECT,DISTINCT,WHERE,AND & OR
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      SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions
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  • 13. Appendix: Web Scraping with Python
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      Web Scraping Part 1
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      Web Scraping Part 2
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  • 14. Appendix: Python Special Offers
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      Python Overview Part 1
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      Python Overview Part 2
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      Python Overview Part 3
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Authors

Kevin Gautama is a systems design and programming engineer with 16 years of expertise in the fields of electrical and electronics and information technology.

He teaches at the Hanoi University of Industry in the period 2003-2011 and he has a certificate of vocational training by the Ministry of Industry and Commerce and the Hanoi University of Industry.

From extensive design experience through numerous engineering projects, the author founded the Enziin Academy.

The Enziin Academy is a startup in the field of educational, it's core goal is to training design engineers in the fields technology related.

The Enziin Academy is headquartered in Stockholm-Sweden with an orientation operating multi-lingual and global.

The author's skills in IT:

  • Implementing the application infrastructure on Amazon's cloud computing platform.
  • Linux server system administration (Sysadmin).
  • Design load balancing and content distribution system.
  • MySQL database administration.
  • C/C++/C# Programming
  • Ruby and Ruby on Rails Programming
  • Python and Django Programming
  • The WPF/C# on the .NET Framework Programming
  • The PHP/JAVA Programming
  • Machine Learning and Expert System.
  • Internet of Things.

The author's skills in the fields of electric and electronic:

  • The design of popular CPU / MCU systems.
  • Design FPGA / CPLD system (Xilinx - Altera).
  • Design and programming of DSP systems (Texas Instruments).
  • Embedded ARM system design.
  • The RTOS Programming
  • Design and programming electronic power systems.
  • PLC - inverter - sensor - electric control cabinet industrial.
  • Control systems distributed connection with Server.

Read more...

Learning Python for Data Analysis and Visualization


Learning Python for Data Analysis and Visualization

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