--------------------------------------------------------------------------------------------------------------------------
Unix:
--------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------
Scripting - Python
--------------------------------------------------------------------------------------------------------------------------
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
--------------------------------------------------------------------------------------------------------------------------
Java:
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)
--------------------------------------------------------------------------------------------------------------------------
3.Microsoft Azure
--------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------
4.Hadoop
--------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------
5.Big Data Specialization
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
--------------------------------------------------------------------------------------------------------------------------
6.Data Scientist :Data Science Specialization:
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)
--------------------------------------------------------------------------------------------------------------------------
No comments:
Post a Comment