Online or onsite, instructor-led live Stata training courses demonstrate through interactive hands-on practice how to analyze large data sets for use cases such as economics, sociology, biomedicine, etc.
Stata training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Malta onsite live Stata trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Testimonials
team work
Nhluvuko Mayimele - Leanne Ross, Interfront SOC Ltd
Course: Stata: Beginner to Advanced
Data management, reporting and statistics concepts.
Dumisani - Leanne Ross, Interfront SOC Ltd
Course: Stata: Beginner to Advanced
The training was at a good pace and the trainer was very patient. So this is very good. I think pitched at a good level too.
European commission
Course: Stata: Beginner to Advanced
Stata Course Outlines in Malta
Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
This instructor-led, live training in Malta (online or onsite) is aimed at data analysts who wish to analyze large data sets with Stata.
By the end of this training, participants will be able to:
- Create statistic models for predicting key interest variables and events.
- Generate descriptive visualizations, summary tables, frequencies, and more.
- Manage and structure large datasets, ready for data analysis.
14 hours
This instructor-led, live training in Malta (online or onsite) is aimed at business analysts who wish to automate trade with algorithmic trading, Python, and R.
By the end of this training, participants will be able to:
- Employ algorithms to buy and sell securities at specialized increments rapidly.
- Reduce costs associated with trade using algorithmic trading.
- Automatically monitor stock prices and place trades.
35 hours
This instructor-led, live training in Malta (online or onsite) is aimed at data analysts who wish to use Stata and R to analyze big data for statistical analysis.
By the end of this training, participants will be able to:
- Create statistic models for predicting key interest variables and events.
- Generate descriptive visualizations, summary tables, frequencies, and more.
- Manage and structure large databases to preapare for data analysis.
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