Data Analysis

Course Overview

Master 5 Powerful Data Analysis Tools in One Comprehensive Training!

Learn how to analyze, interpret, and visualize data using SPSS, STATA, R, Power BI, and Tableau.

Data Analysis is an essential skill used in research, monitoring and evaluation, project management, healthcare, business intelligence, and many other fields.

Our 6-week practical training will equip you with hands-on skills in data cleaning, statistical analysis, data visualization, dashboard creation, and reporting, helping you make informed, data-driven decisions.

This training offers valuable career opportunities in the Public Sector, NGOs, Corporate Sector, Healthcare, Research Institutions, and many more.

JOIN US today and take your Data Analysis skills to the next level!

Start Date: 19th November 2026

Duration: 6 Weeks

Mode: Fully Online

Training Fee: USD 320

Flexible Payment: Register with USD 100 and clear the balance as training progresses.

Enroll today and transform your career!

Download the Course Outline Here

What You'll Gain

Professional Certification

Practical Skills Application

Expert Instruction

Networking Opportunities

Lifetime Access to Materials

Career Advancement Support

Student Success Stories

"This course completely transformed my approach to professional development. The practical tools are incredibly valuable."

Previous Student

Course Investment

$ 320 USD

One-time payment includes all materials and certification

Course Fee $320 USD

Total $320 USD

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Data Analysis Certification Course

Complete Course Timetable & Outcomes

Duration: 6 Weeks (Monday, Tuesday and Wednesday - 18 live sessions) Delivery: Live Sessions (Zoom) + E-Learning (lesson resources, notes, practice activities, weekly self-assessment quizzes and practical assignments)

WEEK 1

Day	Topic	Learning Outcomes
Monday	Introduction to Data Analysis	Explain the data analysis workflow, data types and ethical data handling Describe the roles of SPSS, STATA, R, Power BI and Tableau Review essential Excel sorting, filtering and formulas for preparing datasets
Tuesday	SPSS: Data Preparation	Import data and define variables, labels and measurement levels Identify missing values and duplicates Recode variables and prepare a clean dataset
Wednesday	SPSS: Descriptive Analysis	Produce frequencies, descriptive statistics, charts and cross-tabulations Interpret distributions and summarize findings
Quiz	Online Self-Assessment Quiz 1	-

WEEK 2

Day	Topic	Learning Outcomes
Monday	SPSS: Hypothesis Testing	Select and conduct t-tests, chi-square tests and one-way ANOVA Check the relevant assumptions for each test Interpret p-values and confidence intervals
Tuesday	STATA: Data Management	Navigate STATA and import, label and clean data Sort, filter and summarize data Create a reproducible do-file
Wednesday	STATA: Correlation and Regression	Run correlation and simple linear regression Interpret coefficients, confidence intervals and model output Explain association and its limits
Quiz	Online Self-Assessment Quiz 2	-

WEEK 3

Day	Topic	Learning Outcomes
Monday	R and RStudio Fundamentals	Use scripts and packages and understand basic data structures Import datasets and inspect variables, missing values and data quality
Tuesday	R: Data Wrangling and Visualization	Use dplyr to filter, transform, group and summarize data Join datasets Create clear ggplot2 charts
Wednesday	R: Statistical and Predictive Analysis	Apply statistical tests and linear regression Introduce logistic regression and classification Distinguish training and test data and interpret basic model evaluation measures
Quiz	Online Self-Assessment Quiz 3	-

WEEK 4

Day	Topic	Learning Outcomes
Monday	Power BI: Import and Power Query	Connect to common data sources Clean and transform data in Power Query Set data types and combine tables
Tuesday	Power BI: Data Modeling and DAX	Build table relationships and a simple star schema Create measures and calculated columns Apply basic DAX to key performance indicators
Wednesday	Power BI: Interactive Reports	Build charts, tables, cards and slicers Apply filters and drill-through Use clear layouts and explain findings to stakeholders
Quiz	Online Self-Assessment Quiz 4	-

WEEK 5

Day	Topic	Learning Outcomes
Monday	Tableau: Connecting and Exploring Data	Connect to data and identify dimensions and measures Create basic charts and maps where appropriate Use sorting and filtering
Tuesday	Tableau: Calculations and Dashboards	Create calculated fields Apply dashboard filters and actions Combine worksheets into an interactive dashboard
Wednesday	Tableau: Data Storytelling	Use story points, annotations and appropriate chart choices to communicate findings Refine dashboards for the intended audience
Quiz	Online Self-Assessment Quiz 5	-

WEEK 6

Day	Topic	Learning Outcomes
Monday	End-to-End Analysis Project	Define a practical business or research question Select SPSS, STATA or R for the analysis Clean data, choose suitable methods and document findings
Tuesday	Dashboards and Analytical Reporting	Translate project findings into Power BI and Tableau dashboards Check consistency, explain limitations and develop practical recommendations Introduce Microsoft Fabric and its connection to Power BI as an overview
Wednesday	Project Presentations and Review	Present analysis and dashboards Explain statistical results and recommendations Receive feedback and review the workflow across all five tools
Quiz	Online Self-Assessment Quiz 6	-

Course Summary

Week	Focus Area	Topics Covered
Week 1	Foundations and SPSS	Introduction to Data Analysis, SPSS Data Preparation, SPSS Descriptive Analysis
Week 2	Statistical Testing and STATA	SPSS Hypothesis Testing, STATA Data Management, STATA Correlation and Regression
Week 3	R for Data Analysis	R and RStudio Fundamentals, Data Wrangling and Visualization, Statistical and Predictive Analysis
Week 4	Power BI: Preparation and Modeling	Import and Power Query, Data Modeling and DAX, Interactive Reports
Week 5	Tableau: Visual Analytics and Storytelling	Connecting and Exploring Data, Calculations and Dashboards, Data Storytelling
Week 6	Integrated Application and Final Project	End-to-End Analysis Project, Dashboards and Analytical Reporting, Project Presentations and Review

Key Statistical Techniques Covered

Category	Techniques
Foundations	Data analysis workflow, data types, ethical data handling, Excel preparation
SPSS	Data preparation, descriptive statistics, cross-tabulations, t-tests, chi-square, one-way ANOVA
STATA	Data management, reproducible do-files, correlation, simple linear regression
R	dplyr wrangling, ggplot2 visualization, statistical tests, logistic regression and classification
Power BI	Power Query, data modeling and star schema, DAX measures, interactive reports
Tableau	Dimensions and measures, calculated fields, dashboard filters and actions, data storytelling
Integration & Reporting	End-to-end analysis project, dashboard consistency checks, Microsoft Fabric overview

Course Completion Requirements

Requirement	Details
Live Session Attendance	Attend at least 70% of live sessions
E-Learning	Complete e-learning activities, assignments and six weekly quizzes
Final Project	Submit a final analysis project with Power BI and Tableau dashboards
Fees	Clear the course fees
Certificate	Issued upon completion of the course

What Our Clients Say About Us

Hear from professionals who have experienced our training programs

"The class was good, it helps too much to get knowledge and skills or practical’s on Statistical Package for the Social Sciences (SPSS) to the large extent like to test hypothesis, analysis of data in non- parametric, compare means of two groups, analysis though descriptive, ANOVA, MANOVA, Visualization and others, it helps much to upgrade my career"

HAMISI HATIBU HAROUNI

Tanzania

"My name is Omar from Burundi, and I am a PhD candidate at the University of Burundi. I discovered Vantage Africa School of Leadership through a Facebook advertisement about the Statistical Package for the Social Sciences (SPSS) program, which interested me because it supports data analysis for my research. I appreciate the school’s practical, less theoretical teaching approach and highly recommend it for its quality training that helps learners understand their courses effectively."

Omar

Burundi

"The classes were well organized to suit everyone’s schedule. After work, you could take a short rest and then join class at 8:00 PM East African Time, which was very convenient.The course exceeded my expectations it wasn’t just theory, but practical Statistical Package for the Social Sciences (SPSS) training. Through Vantage Africa, I gained real, hands-on experience that has helped me start a side hustle in data analysis.Today, I not only analyze data for myself but also support students from different universities using the Statistical Package for the Social Sciences (SPSS) skills I learned here. I highly recommend Vantage Africa School of Leadership to anyone looking to gain practical, career-building skill."

Esther

Kenya

Our Background and Expertise

Vantage Africa School of Leadership has positioned itself as a trusted training partner across Africa. We have trained over 10,000 professionals in 28 countries, walking alongside governments, NGOs and private sector organizations to strengthen their ability to design, monitor, and evaluate programs that deliver real impact.

Our Philosophy

At Vantage Africa, Statistical Package for the Social Sciences (SPSS) is taught as a competency-based tool rather than an academic concept. The focus is not on definitions, but on application. Certification is based on demonstrated proficiency participants must prove they can execute complete data analysis workflows using Statistical Package for the Social Sciences (SPSS). Facilitators act as mentors, ensuring that every learner develops analytical fluency and can apply Statistical Package for the Social Sciences (SPSS) outputs to real organizational problems

Case Study

Real-world impact of our training programs

This graphic illustrates how Statistical Package for the Social Sciences (SPSS) transforms raw and unstructured data into meaningful evidence for decision-making. Just like a refinery converts raw minerals into pure gold, Statistical Package for the Social Sciences (SPSS) follows a step-by-step process from data import and cleaning, to statistical testing, and finally generating actionable insights. It visually captures the journey from information overload to clarity and truth

How We Conduct Our Trainings

Our Unique Approach

By the end of the programme, participants will: • Be proficient in managing and analyzing data using Statistical Package for the Social Sciences (SPSS). • Conduct descriptive and inferential analyses independently. • Interpret and report results in decision-making contexts. • Use Statistical Package for the Social Sciences (SPSS) to support evidence-based planning, evaluation, and research. • Demonstrate professional competence as Certified Statistical Package for the Social Sciences (SPSS) Analysts.

Enrollment and Orientation

Participants receive a welcome email with course details, e-learning access, and Statistical Package for the Social Sciences (SPSS) setup guide. An orientation session introduces the platform and expectations.

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Foundations and Context

Learn Statistical Package for the Social Sciences (SPSS) basics data entry, coding, variable management, and descriptive analysis. Complete Quiz 1.

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Group Comparisons

Apply Chi-Square, T-tests, and ANOVA to compare datasets. Interpret and visualize results. Complete Quiz 2

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Correlation & Regression

Clean and merge datasets, compute new variables, and perform correlation and regression analysis.

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Advanced Analysis & Reporting

Conduct factor and cluster analysis, create charts, and generate analytical reports.

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Certification

Certificates are awarded based on competence not attendance. Participants must complete all modules, tasks, and quizzes. Graduates join the Vantage Africa Alumni

Our E-Learning Platform

Access comprehensive training materials anytime, anywhere

Get Certified

Upon successful completion of our training programs, you will receive a professional certificate recognizing your achievement and new skills.

Our certificates are:

Internationally recognized
Digitally verifiable
Industry-standard certified
Proof of your expertise