Saturday, February 10, 2018

Learning steps


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                                                                  Unix:
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                                                             Scripting - Python

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    Courseera:



      Course1:2-4 hours/week
             Programming for Everybody (Getting Started with Python)
      Course2:2-4 hours/week
          Python Data Structures
     Course1,2:
          variables and expressions, 
          conditional execution (loops, branching, and try/except), 
          functions, 
          Python data structures (strings, lists, dictionaries, and tuples), 
          and manipulating files.

       Course3:Using Python to Access Web Data(6 weeks of study, 2-4 hours/week)
   -access data using web APIs
       -HTML, XML, and JSON data formats in Python



        Course4: 5 weeks of study, 2-3 hours/week

         Using Databases with Python

         -Database:SQLite3
         -build web crawlers and multi-step data gathering and visualization processes
          -SQL  -database design  -D3.js library to do basic data visualization


         Course5: 6 weeks of study, 2-4 hours/week

Capstone: Retrieving, Processing, and Visualizing Data with Python



Course1: Introduction to Data Science in Python
Course2: Applied Plotting, Charting & Data Representation in Python
Course3: Applied Machine Learning in Python
Course4: Applied Text Mining in Python

Course5: Applied Social Network Analysis in Python


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                                                                  Java:

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   Courseera:



Course1: Programming Foundations with JavaScript, HTML and CSS (4 weeks of study, 3-7 hours/week)

Course2:Java Programming: Solving Problems with Software(4 weeks of study, 4-8 hours/week)

Course3:Java Programming: Arrays, Lists, and Structured Data(4 weeks of study, 4-8 hours/week)

Course4:Java Programming: Principles of Software Design(4 weeks of study, 4-8 hours/week)

Course5:Java Programming: Build a Recommendation System(4 weeks of study, 3-6 hours/week)



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                                                          3.Microsoft Azure

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                                           Azure Tutorial for Beginners


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                                                         4.Hadoop

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                                                5.Big Data Specialization

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Big Data Specialization


Course1: Introduction to Big Data(3 weeks of study, 5-6 hours/week)
Course2:Big Data Modeling and Management Systems(6 weeks of study, 2-3 hours/week)
Course3:Big Data Integration and Processing
Course4:Machine Learning With Big Data
Course5:Graph Analytics for Big Data

Course6:Big Data - Capstone Project


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                                             6.Data Scientist :Data Science Specialization:

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Courseera:


Course1: The Data Scientist’s Toolbox(1-4 hours/week)
  introduction to the tools:version control, markdown, git, GitHub, R, and RStudio.

Course2: R Programming

    statistical computing which includes programming in R, reading data into R, accessing R packages, writing R        functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples
Course3: Getting and Cleaning Data
Course4: Exploratory Data Analysis
Course5: Reproducible Research
Course6: Statistical Inference
Course7: Regression Models
Course8: Practical Machine Learning
Course9: Developing Data Products
Course10: Data Science Capstone (4-9 hours/week)



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