This course is ideal for:
Cesar’s course is rated: Excellent
4.6/5
4.8 out of 5 based on over 3.8k+ reviews
Master Data Analysis
with Stata Comprehensive Training
Unlock the power of data with our Comprehensive Data Analysis Course Using Stata.
Whether you are a researcher, data analyst, or postgraduate student, this course is designed to elevate your
data management and statistical analysis skills.
3.8k+
Why Learn Stata?
Trusted by professionals in over 150 countries, Stata is a go-to tool for researchers, scientists, and analysts across a wide range of disciplines—Stata provides a comprehensive suite of tools for seamless data handling, advanced statistical modeling, and compelling data visualization.
Its speed and precision allow users to analyze complex datasets with ease, ensuring that even the most intricate data can be translated into clear, actionable insights. Trusted by researchers, scientists, and analysts worldwide, Stata empowers users to make data-driven decisions, perform robust analysis, and present results with confidence.
Stata is widely regarded as one of the most reliable and versatile software solutions for data management and statistical analysis.
Master Data
Analysis with Stata -
Comprehensive Training
Unlock the power of data with our Comprehensive Data Analysis Course Using Stata.
Whether you are a researcher, data analyst, or postgraduate student, this course is designed to elevate your data management and statistical analysis skills.
Why Learn Stata?
Stata is widely regarded as one of the most reliable and versatile software solutions for data management and statistical analysis. Trusted by professionals in over 150 countries, Stata is a go-to tool for researchers, scientists, and analysts across a wide range of disciplines—Stata provides a comprehensive suite of tools for seamless data handling, advanced statistical modeling, and compelling data visualization.
Its speed and precision allow users to analyze complex datasets with ease, ensuring that even the most intricate data can be translated into clear, actionable insights. Trusted by researchers, scientists, and analysts worldwide, Stata empowers users to make data-driven decisions, perform robust analysis, and present results with confidence.
As part of this course, each participant receives a FREE 21-day teaching license that provides full access to Stata’s extensive suite of tools to:
Perform hands-on data analysis without restrictions, experiment with various statistical models and visualization techniques, and apply what you learn immediately through practical assignments.
- Training Starts
- Status
- Training Format
- Online Training
- In-Person Training
- Learning Track
- 28 Oct – 01 Nov.
- Accepting Applications
- Online & In-Person
- R9,900.00 Excl. VAT
- R13,000.00 Excl. VAT
- Certificate of Completion
The 5 days program fee for 'In-person Training' covers tuition and program materials (course lecture notes and training manual). It includes a welcome tea, full refreshments (lunch), two breaks for tea with pastries, complimentary parking, and a certificate of attendance.
The 4 weeks programme for online training provides for:
- Pre-course evaluation
- Course notes
- Course brochure
- Installation of software
- Post-course evaluation
Cesar’s course is rated: Excellent
4.6/5
4.8 out of 5 based on over 3.8k+ reviews
Dates
Oct 28 – Nov 01, 2024
Status
Accepting Applications
Training Format
In-Person & Online
5 Days In-Person Training
R13,000.00 Excl. VAT
4 Weeks Online Training
R9,900.00 Excl. VAT
Learning Track
Certificate of Completion
Course Overview
This course offers a dynamic mix of didactic lectures, interactive group exercises, and hands-on project reports to provide participants with a well-rounded and immersive learning experience. Each session is carefully crafted to balance theoretical knowledge with practical application, enabling participants to master complex statistical concepts in an engaging and accessible way.
Learning Approach
Project Reports
We’ll simulate real-life scenarios to enable participants to apply their newly acquired skills in real-world contexts.
Group Exercises
We’ll Foster collaboration and reinforce learning through problem-solving sessions after every lecture.
Didactic Lectures
We’ll lay a solid theoretical foundation, covering key principles of data analysis using Stata.
Learning Outcomes
Interpret Research Publications
Critically appraise and interpret published research findings, enhancing their understanding of statistical methodologies used by other authors.
Produce and Interpret Statistical Results:
Confidently take raw data, clean, summarize, and analyze it for actionable conclusions.
Data Cleaning and Management
Critically appraise and interpret published research findings, enhancing their understanding of statistical methodologies used by other authors.
Training Formats
Online Training
A 4-week flexible learning experience that you can manage at your own pace.
Traditional Training
5 days of immersive, face-to-face learning.
Exclusive Benefits
As part of this course, each participant receives a FREE 21-day teaching license that provides full access to Stata’s extensive suite of tools to:
Perform hands-on data analysis with no restrictions. Experiment with various statistical models and visualization techniques, and lastly apply what you learn immediately through practical assignments.
The program fee for ‘In-person Training’ covers tuition and program materials (course lecture notes and training manual). It includes a welcome tea, full refreshments (lunch), two breaks for tea with pastries, complimentary parking, and a certificate of attendance.
The programme for online training provides for:
– Pre-course evaluation
– Course notes
– Course brochure
– Installation of software
– Post-course evaluation
Course Overview:
This course offers a dynamic mix of didactic lectures, interactive group exercises, and hands-on project reports to provide participants with a well-rounded and immersive learning experience. Each session is carefully crafted to balance theoretical knowledge with practical application, enabling participants to master complex statistical concepts in an engaging and accessible way.
Learning Approach:
- Didactic Lectures: We'll lay a solid theoretical foundation, covering key principles of data analysis using Stata.
- Group Exercises: We'll foster collaboration and reinforce learning through problem-solving sessions after every lecture.
- Project Reports: We'll simulate real-life scenarios to enable participants to apply their newly acquired skills in real-world contexts.
Learning Outcomes:
By the end of the course, participants will be equipped to:
- Produce and Interpret Statistical Results: Perform basic and intermediate descriptive and inferential statistics using Stata, transforming raw data into meaningful insights.
- Data Cleaning and Management: Confidently take raw data, clean, summarize, and analyze it for actionable conclusions.
- Interpret Research Publications: Critically appraise and interpret published research findings, enhancing their understanding of statistical methodologies used by other authors.
With these skills, participants will be able to handle data efficiently, make informed decisions, and contribute effectively to their respective fields.
Training Formats
- Traditional Training: 5 days of immersive, face-to-face learning.
- Online Training: A 4-week flexible learning experience that you can manage at your own pace.
In-Person Training Schedule
Day 1
Introduction to Data Management and Analysis with Stata
- Research questions
- From variables to datasets
- Explore the capabilities of Stata
- Learn to use Stata: windows, commands, do-files, log file
- Import data in different formats into Stata
- Export data in Stata into different formats
- Appending and merging data from different sources
Day 2
Advanced Data Management and Preparation for Analysis
- Applications of data combination
- Data management procedures
- Working with do-files
- Data cleaning before and during analysis
- Introduction to descriptive statistics
Day 3
Data Visualization and Subgroup Analysis in Stata
- Introduction to Stata graphs
- Subgroup analysis
- First project report
Day 4
Introduction to Inferential Statistics and Hypothesis Testing
- Inferential statistics and meaning of differences
- Hypothesis testing, p-values and confidence intervals
- Chi-squared and Fisher’s exact tests for categorical data
- Parametric Tests: T-test, ANOVA, correlation
Day 5
Non-Parametric Tests and Introduction to Multiple Regression
- Non-parametric tests: ranksum test, Kruskal Wallis, correlation
- Why multiple regression?
- Second project report
Online Course Schedule
Week 1
Data Collection and Management with Stata: From Research Questions to Datasets
- Research questions and data collection methods
- From variables to dataset
- Explore the capabilities of Stata
- Learn to use Stata
- Data management 1: importing and exporting data in Stata
- Working with Stata do-files
Week 2
Data Cleaning, Descriptive Statistics, and Visualization in Stata
- Data cleaning procedures
- Making sense of data – understanding descriptive statistics
- Introduction to Stata graphs
- Introduction to Stata Graphs
- Subgroup analysis
- Research Project 1 and presentation
Week 3
Inferential Statistics and Hypothesis Testing in Stata
- Inferential statistics
- Which statistical test should I use?
- Hypothesis testing using Stata – categorical variables
Week 4
Advanced Hypothesis Testing and Multiple Regression in Stata
- Hypothesis testing using Stata – parametric tests
- Hypothesis testing using Stata – non-parametric tests
- Why do we need multiple regression?
- Research Project 2 and presentation
In-Person Training Schedule
Day 1
Introduction to Data Management and Analysis with Stata
- Research Questions
- From variables to datasets
- Explore the capabilities of Stata
- Learn to use Stata: windows, commands, do-files, log file
- Import data in different formats into Stata
- Export data in Stata into different formats
- Appending and merging data from different sources
We’d explore research questions and progress from variables to datasets. We’d delve into the capabilities of Stata and learn how to navigate its interface, including windows, commands, do-files, and log files. Next, we’d import data in various formats into Stata, export data into different formats, and practice appending and merging data from multiple sources.
Day 2
Advanced Data Management and Preparation for Analysis
- Introduction to descriptive statistics
- Applications of data combination
- Data management procedures
- Working with do-files
- Data cleaning before and during analysis
In this session, we’d begin with an introduction to descriptive statistics, exploring its importance in data analysis. We’d then look at the applications of data combination and discuss effective data management procedures. As we work with do-files, we’d also focus on data cleaning techniques, ensuring our data is prepared both before and during the analysis for accurate results.
Day 3
Data Visualization and Subgroup Analysis in Stata
- Introduction to Stata graphs
- Subgroup analysis
- First project report
In this session, we’d kick off with an introduction to Stata graphs, learning how to visualize our data effectively. We’d then conduct subgroup analysis to draw meaningful insights from our datasets. Finally, we’d compile our findings into our first project report, showcasing the skills and knowledge we’ve gained throughout the course.
Day 4
Introduction to Inferential Statistics and Hypothesis Testing
- Inferential statistics and meaning of differences
- Hypothesis testing, p-values and confidence intervals
- Chi-squared and Fisher’s exact tests for categorical data
- Parametric Tests: T-test, ANOVA, correlation
In this session, we’d delve into inferential statistics and explore the meaning of differences in our data. We’d learn about hypothesis testing, p-values, and confidence intervals, using these concepts to draw conclusions. We’d also cover Chi-squared and Fisher’s exact tests for analyzing categorical data, and examine parametric tests such as the T-test, ANOVA, and correlation to deepen our understanding of statistical relationships.
Day 5
Non-Parametric Tests and Introduction to Multiple Regression
- Non-parametric tests: ranksum test, Kruskal Wallis, correlation
- Data collection
- Second project report
In this session, we’d explore non-parametric tests, focusing on the ranksum test, Kruskal-Wallis test, and correlation methods. We’d engage in data collection activities to gather the necessary information for our analysis. Finally, we’d compile our findings into the second project report, applying the concepts and techniques we’ve learned throughout the course.
Online Training Schedule
Week 1
Data Collection and Management with Stata: From Research Questions to Datasets
- Research questions and data collection methods
- From variables to dataset
- Explore the capabilities of Stata
- Learn to use Stata
- Data management 1: importing and exporting data in Stata
- Working with Stata do-files
Week 2
Data Cleaning, Descriptive Statistics, and Visualization in Stata
- Data cleaning procedures
- Making sense of data – understanding descriptive statistics
- Introduction to Stata graphs
- Introduction to Stata Graphs
- Subgroup analysis
- Research Project 1 and presentation
Week 3
Inferential Statistics and Hypothesis Testing in Stata
- Inferential statistics
- Which statistical test should I use?
- Hypothesis testing using Stata – categorical variables
Week 4
Advanced Hypothesis Testing and Multiple Regression in Stata
- Hypothesis testing using Stata – parametric tests
- Hypothesis testing using Stata – non-parametric tests
- Why do we need multiple regression?
- Research Project 2 and presentation
WHY LEARN FROM US
CESAR is a world-class training and consultancy organization based in Johannesburg, South Africa. We have provided top-notch training and consultancy services in applied research, monitoring and evaluation, statistical analysis, and evidence-based practice to organizations across 29 countries and four continents.
Expert Instructors:
Our instructors are seasoned professionals with years of experience using Stata in real-world research and business environments.
Hands-on Learning:
We focus on practical, actionable knowledge through group exercises and projects that simulate real-life data challenges.
Comprehensive Support:
We provide continuous support throughout the course, ensuring you fully understand the material and can apply it in your work.
WHY LEARN FROM US
CESAR is a world-class training and consultancy organization based in Johannesburg, South Africa. We have provided top-notch training and consultancy services in applied research, monitoring and evaluation, statistical analysis, and evidence-based practice to organizations across 29 countries and four continents.
Expert Instructors
Our instructors are seasoned professionals with years of experience using Stata in real-world research and business environments.
Hands-on Learning
We focus on practical, actionable knowledge through group exercises and projects that simulate real-life data challenges.
Comprehensive Support
We provide continuous support throughout the course, ensuring you fully understand the material and can apply it in your work.
Who Should Participage?
Researchers
Data Analysts
Epidemiologists
Clinicians
Economists
Biostatisticians
Programme Managers
Postgraduate Students
Market Researchers
Government Practitioners
Who Should Participage?
This course is ideal for:
Researchers
Data Analysts
Epidemiologists
Market Researchers
Postgraduate Students
Clinicians
Economists
Biostatisticians
Programme Managers
Government Practitioners
Course Reviews
Participant Stories
☆☆☆☆☆
Before taking this course, I struggled with analyzing large datasets for my job. Now, I can handle complex data manipulation and visualization tasks seamlessly using Stata. The content is comprehensive and suitable for beginners and advanced users alike!
☆☆☆☆☆
The 'Master Data Analysis with Stata' course exceeded my expectations! The step-by-step approach made complex statistical concepts easy to understand and apply. I now feel confident in using Stata for my research projects. Highly recommended for anyone looking to master data analysis!
☆☆☆☆☆
This training provided a deep dive into Stata and data analysis. The course structure was easy to follow, and the instructor’s knowledge was impressive. I now understand how to conduct statistical analysis and interpret results confidently. It’s the best investment I’ve made in my career!
☆☆☆☆☆
As someone new to Stata, I was worried that I might not keep up, but this course proved to be exactly what I needed. The explanations were clear, and the practical examples helped me get hands-on experience. I can now analyze datasets effectively and produce professional reports!
☆☆☆☆☆
The 'Master Data Analysis with Stata' course exceeded my expectations! The step-by-step approach made complex statistical concepts easy to understand and apply. I now feel confident in using Stata for my research projects. Highly recommended for anyone looking to master data analysis!
☆☆☆☆☆
As someone new to Stata, I was worried that I might not keep up, but this course proved to be exactly what I needed. The explanations were clear, and the practical examples helped me get hands-on experience. I can now analyze datasets effectively and produce professional reports!
☆☆☆☆☆
This training provided a deep dive into Stata and data analysis. The course structure was easy to follow, and the instructor’s knowledge was impressive. I now understand how to conduct statistical analysis and interpret results confidently. It’s the best investment I’ve made in my career!
☆☆☆☆☆
Before taking this course, I struggled with analyzing large datasets for my job. Now, I can handle complex data manipulation and visualization tasks seamlessly using Stata. The content is comprehensive and suitable for beginners and advanced users alike!
Frequently Asked Questions
Find answers to common questions about the comprehensive Data Analyst course with Stata
This course covers comprehensive data analysis techniques using Stata, including data management, statistical analysis, data visualization, and advanced analytical methods like regression and panel data analysis.
No prior experience is required. The course starts with the basics of using Stata and progresses to more advanced topics.
The Traditional Training will take place on the: 28 Oct – 01 Nov.
The Online Training will take place on the: 11 Nov. – 06 Dec.
Yes, it is designed for both beginners and intermediate learners. However, familiarity with basic statistical concepts will be beneficial.
You will need Stata software installed on your computer. The course supports all versions, but it’s recommended to use Stata 15 or later for compatibility with newer features.
Yes, we provide various data sets for hands-on practice throughout the course. You will also learn how to import your own data sets.
Yes, upon successful completion of the course and assignments, you will receive a certificate of completion.
Absolutely! The certificate can be shared on your resume and LinkedIn profile to showcase your expertise in Stata and data analysis.
While the course doesn’t include direct career support, we provide guidance on how to build a portfolio using your course projects, which can be used to demonstrate your skills to potential employers.
If you encounter any technical issues, you can reach out to our support team via email. Most issues are resolved within 24 hours.
FREQUENTLY ASKED QUESTIONS
This course covers comprehensive data analysis techniques using Stata, including data management, statistical analysis, data visualization, and advanced analytical methods like regression and panel data analysis.
No prior experience is required. The course starts with the basics of using Stata and progresses to more advanced topics.
The Traditional Training will take place on the: 28 Oct – 01 Nov.
The Online Training will take place on the: 11 Nov. – 06 Dec.
Yes, it is designed for both beginners and intermediate learners. However, familiarity with basic statistical concepts will be beneficial.
You will need Stata software installed on your computer. The course supports all versions, but it’s recommended to use Stata 15 or later for compatibility with newer features.
Yes, we provide various data sets for hands-on practice throughout the course. You will also learn how to import your own data sets.
Yes, upon successful completion of the course and assignments, you will receive a certificate of completion.
Absolutely! The certificate can be shared on your resume and LinkedIn profile to showcase your expertise in Stata and data analysis.
While the course doesn’t include direct career support, we provide guidance on how to build a portfolio using your course projects, which can be used to demonstrate your skills to potential employers.
If you encounter any technical issues, you can reach out to our support team via email. Most issues are resolved within 24 hours.