All Data Science Courses
Predictive Analytics
Predictive Analytics is an area of statistics and data analysis …
What you'll learn
Predictive Analytics
Customer Analytics
Regression Analysis
Marketing Performance Measurement
What you'll learn
Understand the fundamentals of statistics
How to plot different types of data
Calculate correlation and covariance
Perform hypothesis testing
Make data driven decisions
Understand the mechanics of regression analysis
Learn how to work with different types of data
Distinguish and work with different types of distributions
R Programming for Data Science
R Programming is a language for statistical computing and graphics …
What you'll learn
Understand critical programming language concepts
Configure statistical programming software
Make use of R loop functions and debugging tools
Collect detailed information using R
Learn how to create variables
Understand the Normal distribution
Python for Data Science
This introduction to Python will kickstart your learning of Python …
What you'll learn
Learn to use NumPy for Numerical Data
Learn to use Matplotlib for Python Plotting
Learn to use Pandas for Data Analysis
Learn to use Seaborn for statistical plots
Data Science with Python
Learn Datascience with Python. Analyze and visualize data with Python …
What you'll learn
Learn techniques to deal with different types of data – ordinal, categorical, encoding
Learn data visualization
Using I python notebooks, master the art of presenting step by step data analysis
Work with real-time data
Learn tools and techniques for predictive modeling
Explain Time Series and its related concepts
SAS Programming
SAS is a system of integrated software solutions for managing …
What you'll learn
SAS environment and various windows
SAS Enterprise Guide
Logical statements, operators, and functions
Creating datasets and deploying compilation and execution
SAS graphs and summary reports
Preparing for the SAS Certified Base Programmer certification
What you'll learn
Introduction and importance
Data acquisition and Data Science lifecycle
Experimentation, evaluation and project deployment tools
Different algorithms used
Predictive analytics and segmentation using clustering
Data Scientist roles and responsibilities
Deploying recommended systems on real-world data sets
Work on data mining, data structures and data manipulation.
What you'll learn
Write Python scripts and test code
Programmatically download and analyze data
Implement the techniques to deal with different types of data – ordinal, categorical, encoding
Create data visualization
Use Python notebooks and master the art of presenting step-by-step data analysis
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