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Top 9 Data Analytics Courses In Kenya With Live Training

Every day, organizations produce millions of records of data. Additionally, information about a company’s goods and/or services is still spread across a variety of internet venues, particularly social networking websites. Organizations without strong data-understanding abilities will eventually be displaced by those who do in an information-driven society. As a result, big data has become an essential component of technology and our daily lives, and data analytics offer solutions that are quick to produce and take little effort. In this article, we will explore different institutions, that offer, the top 9 Data Analytics courses in Kenya.

Top Data Analytics Courses in Kenya

It is quite understandable why data and the solutions for its analytics have taken off like wildfire. However, because the necessary knowledge and abilities to make sense of the data are lacking, this opportunity has mostly remained unexploited, either partially or completely. Therefore, there is a need for experts who can extract valuable insights from a company’s extensive data sources to make better business decisions. The validity of data analytics certification offers numerous prospects for professional development for both individuals and businesses in the rapidly expanding field of data science.

Find here the other top-ranked courses in Kenya for career upliftment:

Top Data Analytics Courses in Kenya


IIM SKILLS is the most highly rated ed-tech company in the world. Their data analytics course is one of their highest recommened course.

Modules- Data Analytics Course with IIM SKILLS

Module NameImportant Topic
Module 1: Basic and Advance Excel
Introduction to Data Handling
Data Manipulation Using Functions
Data Analysis and Reporting
Data Visualization in Excel
Overview of Dashboards
Module 2: Visual Basic Application
Introducing VBA
How VBA Works with Excel
Key Components of Programming Language
Programming Constructs in VBA
Functions & Procedures in VBA
Objects & Memory Management in VBA
Error Handling
Controlling Accessibility of Your Code
Communicating with Your Users
Module 3: SQL
Basics RDBMS Concepts
Utilizing the Object Explorer
Data Based Objects Creation (DDL Commands)
Data Manipulation (DML Commands)
Accessing Data from Multiple Tables Using SELECT
Optimizing Your Work
Module 3.1: SQL Server Reporting Services
Basics of SSRS
Creating Parameters
Understanding Visualization
Creating Visualization Using SSRS
Module 3.2: SQL Server Integration Services
Understanding Basics of SSIS
Understanding Packages
Creating Packages to Integrate
Creating Project Using SSIS
Module 4: Power BI
Data Preparation and Modeling
Data Analysis Expressions (DAX)
Reports Development (Visuals in Power BI)
Module 5: Data Analytics Using Python
Introduction to Basic Statistics
Introduction to Mathematical Foundations
Introduction to Analytics & Data Science
Python Essentials (Core)
Operations with NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python
Data Analysis Using Python
Data Visualization with Python
Statistical Methods & Hypothesis Testing
Module 6: Tableau
Getting Started
Data Handling & Summaries
Reports Development (Visuals in Tableau)
Module 7: R For Data Science
Data Importing/Exporting
Data Manipulation
Data Analysis
Using R with Databases
Data Visualization with R
Introduction to Statistics
Linear Regression: Solving Regression Problems
Module 8: Alteryx
Overview of the Alteryx Course and Fundamental Concepts
Using the Select Tool to Rename Fields, Change the Data Type
Understanding the User Environment and Alteryx Settings
Filtering Data/Data Processing
Blending/Joining Data from Different Sources
Data Cleansing
Impute Values
Random Sample


Course Name – Data Analytics Course

Duration – 6 months of live training + 2 months of internship (unpaid)

Fee – 86569.66 Kenyan Shilling + taxes

Media Coverage For Exemplary Assistance To Students 

Tools Covered:

  • R
  • Python
  • SQL
  • Tableau
  • Power BI
  • Excel
  • Alteryx


  • Highly rated & most recommended
  • Excellent & highly potential mentors
  • 100% practical oriented training
  • Guaranteed internship
  • Free demo session
  • 24*7 career guidance and support
  • Free life long access to their learning material
  • Timely updated curriculum

Criteria To Enroll:

  • UG
  • Freshers
  • Graduates
  • Postgraduates
  • Any level of experienced professionals from any field like IT, banking, sales, networking etc.

Professional Courses from IIM SKILLS

Contact: +919580740740, [email protected]

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2. Data Analytics Training – @ilabAfrica

A Center of Excellence in ICT Innovation and Development known as @iLabAfrica was founded by Strathmore University’s Faculty of Information Technology in 2011. Through the use of effective, user-friendly ICT tools, this course provides an overview of the core principles and concepts of Data Analytics for Better Business Decisions. The objective is to equip students with the knowledge they need to easily retrieve and analyze data from a variety of internal and external data sources to derive insightful conclusions. Since it is a very practical course, it is conducted in a computer lab, and each student is given a workstation. Group and individual tasks based on case studies are part of the practical sessions. It is one of the top 9 Data Analytics courses in Kenya.

Course Duration: 2 days

Course Fees: Ksh 45000

Course Modules:

  1. Introduction to Data Analytics
  2. Using Data Analytics ICT tools
  3. Data Analysis Visualization Tool
  4. Qlik Sense

Course Features:

  • Understanding data analysis; 
  • knowing where to find and prepare data using user-friendly ICT tools; and 
  • knowing how to convey compelling stories utilizing data using meaningful and eye-catching images.

Contact Details:

Ph: +254 703 034616

Email ID: [email protected]

Dig in here and find the advanced courses:

3. Data Analytics for SMEs – Mount Kenya University

The next best Data Analytics courses in Kenya are provided by Mount Kenya University. This special program is provided by Mount Kenya University (MKU) and the Data Analytics Institute (DAI) in Kenya to equip Small and Medium Enterprises (SMEs) with the knowledge and resources they need to establish data-driven business models. SME Managers and Business Owners interested in learning about and applying Data Analytics expertise to expand their business models should enroll in this class. Without sacrificing any of the fundamentals, the goal is to get you up to speed on data science and technology as rapidly as possible.

Course Duration: 2 days

Course Fees: Ksh 5,000

Course Modules:

  1. Fundamentals of Data Analytics
  2. Executing Real-Time Analysis
  3. Choosing the suitable tool
  4. Simulations
  5. Case Studies 
  6. Take-Home Assignments

Course Features:

  • Learn how data analytics may be used for business intelligence, decision-making, and business model scaling.
  • Scholarly understanding of numerous models and Data Science solutions to diverse Business issues.
  • Explore the resources and technologies required for data collection, management, storage, analysis, visualization, and interpretation.

Contact Details:

Ph: +254703591299 | +254202187379

Email ID: [email protected]

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4. Data Analytics with Power BI – Strathmore University

This training seeks to speed up and reduce the cost of the process of extracting insights from data. Microsoft’s Power BI will be used to its fullest extent to accomplish this. You can consider receiving data from several sources, such as databases, APIs, files, directories, and web sources, among others. The majority of the course is technical and practical. Students who want to learn how to analyze data from start should take this course. The course is intended for students who desire to improve their data analysis skills. You will learn how to export, transform, load, visualize, and data mine using Power BI and all of its components. It is one of the top Data Analytics courses in Kenya.

Course Duration: 3 weeks

Course Fees: Ksh 40,000

Course Features:

  • You will take less time to visualize data and create reports.
  • Get information about data mining.
  • You’ll discover a more effective approach to presenting data.
  • You can stay on top of shifting data trends.
  • Quickly building both operational and informational dashboards will be possible for you.

Contact Details:

Email ID: [email protected]

Ph:  (+254) (0)703-034000/200/300

       (+254) (0) 730-734000/200/300

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5. Bachelor of Science in Data Science and Analytics – United States International University – Africa

The goal of the Data Science and Analytics program is to generate graduates with specialized training who possess the fundamental computer science and mathematics knowledge and abilities required to present, examine, and eventually comprehend data sets.

Students will graduate from this program with knowledge and abilities in a variety of technical fields, including computer science, mathematics, modeling (applied mathematics), and statistics. The course equips students with the necessary knowledge, abilities, and attitudes for extracting value and meaning from massive amounts of data to assist businesses and organizations in making data-informed decisions.

Students will study data management, algorithms, and data analysis throughout the course to acquire an understanding of the fundamentals of data science and analytics.

Students will develop data-driven systems for business or public sector decision-making while receiving in-depth training in predictive, descriptive, and prescriptive analytics. Graduates of the course will possess problem-solving, analytical, computational, critical thinking, and communication abilities that will enable them to interpret massive amounts of data. It is one of the top Data Analytics courses in Kenya.

Course Duration: Not Specified

Course Fees: Not Specified

Course Modules:

Lower Division Courses

  1. Probability and Statistics
  2. Calculus
  3. Linear Algebra
  4. Differential Equations
  5. Computational and Analytical foundation
  6. Introduction to Programming
  7. Database Systems
  8. Introduction to Data Science
  9. Discrete Mathematics for Data Science
  10. Optimization Techniques
  11. Numerical Analysis and its Application
  12. Probability and Statistics II
  13. Statistical Inference
  14. Programming with R 
  15. Sample Surveys
  16. Principles of Machine Learning
  17. Algorithms and Data Structures
  18. Data Mining and Analytics

Upper Division Courses

  1. Introduction to Artificial Intelligence
  2. Statistical Modeling
  3. Analysis and Designs of Experiments
  4. Mathematical Modeling and Simulation
  5. Decision Theory and Bayesian Inference
  6. Mathematical Finance
  7. Object Oriented Programming
  8. Big Data Analytics
  9. Knowledge-Based Systems
  10. Big Data Security
  11. Applied Machine Learning
  12. Advanced Programming for Data Science
  13. Applied Project Data Science
  14. Survival Analysis
  15. Query Language and Advanced database
  16. Data Science Internship
  17. Applied Project in Data Science 2

Course Objectives:

After finishing the course, students will be able of:

  • use sound data science principles to solve analytical difficulties;
  • Create analytical models, highlighting their strengths and weaknesses;
  • Utilize computational and programming techniques to analyze and visualize data sets;
  • Utilize automated algorithms for data mining;
  • Apply data science techniques to the data management of the organization.

Contact Details:

Ph: +254 730 116 000 /290 /291

Email ID: [email protected]

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6. Data Analytics for Business Strategy: Essential Tools and Applications – IIM Kozhikode

Data Analytics for Business Strategy: Essential Tools and Applications from IIM Kozhikode will give you the tools you need to use data analytics to solve real-world issues and improve the way you make business decisions daily and so it is one of the finest  Data Analytics courses in Kenya. You will discover how data analytics are used in marketing, product development, retail and sales, customer research and insights, and online advertising. You will graduate from the program with a data-driven analytical framework that will enable you to address important business challenges and progress your career.

Course Duration: 10 months

Course Fees: Ksh 256607.58

Course Modules:

  1. Data and Sources of Data
  2. Data Analytics Fundamentals
  3. Understanding Statistics for Business Applications
  4. Predictive Modeling Algorithms and Data Mining for Business Data
  5. Product Strategy Formulation
  6. Marketing and Customer Analytics
  7. Data Analytics for Financial Decisions
  8. Digital/Social Media
  9. Operations and Supply Chain
  10. Data Analytics for HRM

Course Features:

  • Recognize how data-driven insights can be used in decision-making in industries like marketing, finance, operations, and human resources.
  • Find trustworthy ways to gather, analyze, visualize, and use data for decision-making by selecting the appropriate analytics tool for the task at hand.
  • Learn how analytics may be used to filter and assess alternatives as well as come up with fresh product ideas.
  • Learn how to calculate customer lifetime value to analyze brand and customer loyalty and anticipate short- and long-term revenue.
  • Learn about the various applications of predictive modeling.
  • Learn the theories and measurements needed to assess and improve your digital marketing operations.
  • Learn how to forecast, plan, and optimize inventories using data analytics.
  • Learn how to save HR expenses, anticipate attrition, and improve hiring methods by utilizing data-driven insights.

Contact Details

Check out the website

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7. Data Analytics Certification Training Course – ExcelR

To give students and computer workers high-quality upskilling opportunities, ExcelR and tech conglomerate IBM have collaborated. The Data Analytics Course has been designed to meet the needs of the market as well as individuals who want to advance their careers in a digital field where coding is not the norm. Become certified by completing this outstanding IBM-powered Data Analytics Certification Course. Technology topics covered in this course include Advanced Excel, Excel, Tableau, SQL, Power BI, and the fundamentals of R & Python. Undoubtedly, it is one of the best Data Analytics courses in Kenya.

Course Duration: 6 months

Course Fees: Not Specified

Course Modules

  • Business Statistics
  • Excel: Basics to Advanced
  • MySQL
  • Tableau
  • Power BI
  • SAS
  • R Basics
  • Python Basics
  • Power BI

Course Features:

  • The curriculum for ExcelR’s data analytics course has been carefully planned from fundamental to advanced themes to guarantee that even those new to data analytics may grasp the ideas quickly. Periodically, they adjust the course content to reflect the shifting demands of the sector.
  • On ExcelR’s cutting-edge learning management system, participants will have access to recorded sessions of their instructor-led live classes, which can help them review and recap the ideas (LMS). Even while traveling, one can access and view the recorded sessions.
  • ExcelR offers more than 50 assignments totaling more than 100 hours for practicing theoretical ideas. The secret to understanding the ideas is to get your hands filthy. To provide practical experience, a linked assignment will be assigned for each idea that is presented. You will be assisted in completing and evaluating the assignments by a committed SME team.
  • Working on Live projects for many industries will be possible using ExcelR. Participants are free to select their projects. The participants can now obtain comprehensive real-time insight into the Data Analytics initiatives thanks to this. Our subject matter specialists will assist in effectively completing the job.
  • Blended learning is necessary to comprehend the ideas of data analytics. With this concept, users can enroll in both live online and recorded sessions for e-learning. These 2 taken together will have a beneficial effect on learning.
  • Until you grasp the concepts or get a job, extensive post-training help is offered. Each participant will have a trainer allocated to them as a dedicated mentor to help them with their assignments, projects, and interview preparation. Through WhatsApp or ExcelR’s community forum, one can communicate with the trainer.
  • Participants will receive comprehensive placement aid, including help with writing resumes, interview questions, practice interviews, etc. Through their placement, interviews with numerous businesses will be arranged.

Contact Details:

Ph: 18002122121

8. Post Graduate Program in Business Analytics – Simplilearn

In collaboration with the Carlson School of Management, IBM is offering a Business Analytics certification course that combines self-paced videos, live classes, projects, and lots of hands-on practice. In this program, you will develop a data mentality and analytical abilities to comprehend and convey data for business problems.

This Business Analytics certification course will demystify data analysis and provide you with the skills you need to apply it to your work or advance your education, regardless of your job function or educational experience. The specific skills necessary in the field of business analytics are covered in this highly engaging, market-driven course on business analytics, covering Excel, SQL, R, Python, data visualization tools, and many others.   It is one of the best data Analytics courses in Kenya as, through the program, you can work on a project that is pertinent to your sector and receive on-the-job experience.

Course Duration: 9 months

Course Fees: Ksh 331022.31

Course Modules:


  1. Introduction to Data Analytics
  2. Business Analytics with Excel
  3. SQL
  4. R Programming
  5. Data Analytics with R
  6. Data Visualization using Tableau
  7. Business Analytics Capstone


  1. Data Analysis with Python
  2. Mathematical Optimization
  3. Data Visualization using Power BI
  4. Academic Masterclass by UMN
  5. Industry Masterclass by IBM

Course Features:

  • Using Simplilearn’s JobAssist, you may attract the attention of leading employers.
  • Carlson School of Management program certificate and Simplilearn University of Minnesota Alumni Association membership
  • Live online masterclasses taught by renowned UMN professors for IBM courses,
  • “Ask Me Anything” forums and hackathons led by IBM professionals
  • 12+ practical projects corresponding to different industry sectors
  • 14+ useful frameworks and tools to improve the impact of your work
  • Carlson School of Management and Simplilearn program certification
  • Hackathons by IBM hosts
  • Case-based, industry-relevant education
  • Access to integrated labs is simple.

Contact Details:

Ph: +1-844-532-7688

9. Big Data Analytics Course Training – Knowledgehut

The final course to feature in our list of top 9 Data Analytics courses in Kenya is offered by Knowledgehut. All of Konowledgehut’s training sessions are dynamic and enjoyable to participate in because so much time is devoted to using case talks, hands-on training, and quizzes. Our trainers employ a wide range of collaboration tools and methods, which will enhance your online training experience. The Big Data Analytics training provided by KnowledgeHut is tailored to the learner’s preferences. Three methods are used to carry out the training:

Online classroom instruction: Using the most popular virtual, live, and interactive training, you may learn from anywhere.

Self-paced learning: With this kind of instruction, you will have lifetime access to premium, self-paced e-learning resources created by our team of sector experts.

Team/Corporate Training: For this kind of training, an organization can choose a single employee or a complete team to participate in the online or in-person training.

Course Duration: 30 hrs

Course Cost: Not Specified

Course Modules:

  1. Introducing Hadoop and Big Data
  2. Hadoop Daemon Process
  3. Hadoop Distribution File System (HDFS)
  4. HDFS and Hadoop Installation Modes
  5. Hadoop Developer Tasks
  6. Hadoop Ecosystems
  7. Data Analytics using Pentaho
  8. Integrations

Course Features:

  • Knowing Hadoop’s Core Concepts, including Map-Reduce and the Hadoop Distributed FileSystem (HDFS) (MR)
  • HBase and CASSANDRA, two examples of NO-SQL databases, to understand.
  • Understanding the HIVE, PIG, SQOOP, and FLUME components of the Hadoop Ecosystem
  • Acquiring knowledge of additional topics, such as utilizing Python, R, or Ruby to schedule Hadoop jobs, etc.
  • Creating batch analytics software for UK web-based news channels to promote the news and engage viewers with personalized recommendations.
  • Adding Sentimental Analytics and Clickstream to the UK Web-Based News Channel
  • Advanced professional development.
  • Increased compensation due to Hadoop expertise
  • 30 hours of rigorous Big Data and frameworks training
  • A comprehensive course of study
  • Case studies and practical activities let you learn about real-world applications.
  • Learn about Hadoop Ecosystems and the various integrations in detail.
  • Access to 100+ courses in free online learning

Contact Details:

Email ID: [email protected]


Q. What are the job profiles available after completing one of these Data Analytics courses in Kenya?

Once you finish the course you become eligible for several positions:

  • Data Scientists
  • Data Analysts
  • Data Managers
  • Data System Developers
  • Computer Programmers
  • Data Engineers
  • Data Architects
  • Information Analysts
  • Statisticians
  • Business Intelligence Developers

Q. Who should apply for Data Analytics courses in Kenya?

Data Analytics courses in Kenya will assist you in developing the necessary analytical mindset to disrupt, innovate, and scale the business strategies of your organization for a higher return on investment. It is meant for:

  • Early-stage professionals seeking to further their careers and develop their abilities in the fields of data analytics, products, sales, marketing, and branding.
  • Senior managers and company executives who seek to develop a nuanced grasp of how analytics may be used to conceptualize winning business strategies.
  • Consultants who seek to help their clients connect the dots by using the appropriate combination of data analytics, insight, and strategy.
  • Entrepreneurs and business owners eager to use realistic data analytics tactics to drive customer-centric decision-making.

Q. How much is a Data Analyst paid after completing one of these Data Analytics courses in Kenya?

According to a Salary Explorer survey this year, data scientists in Kenya make an average salary of Ksh 2,36,000 a month. The typical salary ranges from Ksh 116,000 to Ksh 369,000. 31-Aug-2022.

Q. What skills are necessary to work as a data analyst?

Data analysts are expected to demonstrate specific skills and abilities in addition to being knowledgeable about the tools and methodologies we’ve just covered. These skills and abilities are frequently learned while taking a course at a data analytics school. Some of the skills are:

  • Ability in mathematics and statistics: Data analysts work with numbers a lot, therefore it goes without saying that you’ll require a mathematical mind.
  • Knowledge of programming languages like Python, SQL, and Oracle: As we’ve seen, a variety of programming languages are used by data analysts to do their tasks. This may be acquired over time.
  • An analytical attitude is important because data analysts must be able to comprehend what is happening and go further as needed. It is not enough to simply crunch the numbers and report your results.
  • Sharp problem-solving abilities: Knowing which tools and procedures to employ when is essential to the job of a data analyst because they have access to so many different tools and techniques. Data analytics is all about finding answers and resolving business problems, which calls for sharp problem-solving abilities.
  • Excellent communication abilities: It’s critical to present your results in a way that helps the business after you’ve mined your data for insightful information. Working closely with important corporate stakeholders, data analysts may be required to share and convey their insights to the company. 

Conclusion on Data Analytics Courses in Kenya

According to a recent McKinsey report, approximately 1.5 million managers and big data analysts with knowledge of how big data may be utilized would be sought after by U.S.-based organizations in the next years as the demand for “Big Data” specialists might surpass the supply by 50 to 60%.

The amount of money being invested in big data has also soared, with some well-known organizations devoting funds to big data-related research and hiring big data analysts to alter their technological environment. Developers must improve their analytical abilities and get ready to compete for a slice of the big data boom. So get going and enroll yourself in one of these top 9 Data Analytics Courses In Kenya.

Having done my Masters in English Literature, from the University of Calcutta, I always have had a love for reading and a flair for writing. My strong academic results made me inclined toward academic jobs, but my love for writing lingered. I have worked as an Assistant Profesor in Business Communications in different colleges over the years. Now I am pursuing my passion for writing. Articles, Blogs, and Content creation make me explore this passion to the fullest. I have successfully completed the Content Writing Master Course Certification from IIM Skills. I am trying to gain a strong foothold in the world of Digital Content Creation.
  • I am Makena. I am a software solutions designer looking to advance my career in the healthcare industry, it has also become a viable employment opportunity. Healthcare data analysts earn high salaries all over the world because of the sensitive nature of their work. Along with the pay, it’s also important to emphasise the chances to collaborate with some of the largest names in the healthcare industry. Consequently, healthcare data analytics is becoming one of the most lucrative subfields. Hence, searching for an online data analytics course in Kenya that offers education and training through live online sessions, led by the instructor. The author has put in good efforts to list the best available courses with necessary details. Thanks

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