Overview
What you will study
Most modern companies put a lot of stock into data when making crucial business decisions. As such, they require employees that understand how to work with mass amounts of data, and effectively analyze it to get a holistic view of the company. These skills aren't just reserved for analysts, they're valuable for professionals in any capacity. As such, The Big Data and Analytics Master Toolkit offered by Skillwise presents some of the major data analytics tools in use today: SPSS, Minitab, SAS, and R Studio.
Programme Structure
The program focuses on:
- Perform complex data manipulation & analysis w/ simple instructions
- Explore a wide variety of regression modeling & correlation techniques
- Apply Minitab to predictive modeling
- Learn regression modeling & correlation techniques in Minitab
- Apply SAS to business analytics & quantitative finance
- Dive into SAS programming
- Use SAS Enterprise Miner for predictive modeling
- Learn R programming & R Studio to perform essential data science & business analytics tasks
- Explore R Studio Anova techniques
- Understand hypothesis testing w/ R
Key information
Duration
- Part-time
- 8 days
Start dates & application deadlines
You can apply for and start this programme anytime.
More details
• Please contact the university for more information about the start dates.
Language
English
Delivered
Online
Disciplines
Data Science & Big Data Data Analytics View 592 other Short Courses in Data Science & Big Data in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Experience level required: all levels
Technological requirements
- Internet required
Tuition Fee
To always see correct tuition fees
-
International
160 USD/fullTuition FeeBased on the tuition of 160 USD for the full programme during 8 days. -
National
160 USD/fullTuition FeeBased on the tuition of 160 USD for the full programme during 8 days.
Funding
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