Join the World’s Most Respected

Data Analytics Master Course by IIM SKILLS

Table of Contents

Top 10 Data Analytics Courses In Ethiopia With Placements

Data analytics is the branch of science that analyzes raw data to draw inferences and insights from collected data. It uses a wide range of tools and technologies and involves processes to find trends and solve problems after analyzing the raw data. Data analytics has emerged as a new tool that has a significant role in the economic development of Ethiopia. It helps in making wise decisions and maintaining best practices. Ethiopia is an agrarian economy, accounting for 37.64 per cent of gross domestic product (GDP). More than 70 per cent of the population lives in rural areas. Nearly 30% of the population is in the age group of 18-34 years. In 2022, 29.83 million people were using the internet in Ethiopia. The internet penetration rate is 25% of the total population. The use of data analytics not only in agriculture but also in healthcare, finance, and other evolving industries should boost the economy of Ethiopia. This post is an attempt to highlight the importance of data analytics and the top 10 institutes offering data analytics courses in Ethiopia.




Let’s dive into the top data analytics courses in Ethiopia.


What Are the Elements of Data Analytics?

There Are Five Different Elements in Data Analytics. Let’s Discuss One by One:

Collection of Data: This is the first step, the data is collected from various sources- internal and external. Data collection helps get answers about your business and evaluate them. After data collection, it has to be cleansed and standardized to be ready for analysis. Removing duplicate records, correcting errors, and formatting the data are key factors before analyzing the data.

Analyzing Data: Various statistical tools describe, condense, and evaluate the collected data. Identifying the patterns and trends can help in making better decisions about the products, pricing, and promotions. Proper analysis of data helps in predicting future outcomes. It also helps data analysts identify unusual patterns that may lead to fraud or other problems.

Reporting Results: This involves presenting the insights in a dashboard, generating reports, and creating infographics. After analyzing the data, the result has to be reported. The results give insight and that helps in decision making. The results are reported in the form of charts and graphs. The reports are a written summary that includes key findings. Infographics are used to report the results for easy understanding by the audiences.

Process Improvement: Data analytics is a dynamic concept. The improvement process is continuous. How data is collected, analyzed, and processed undergoes continuous change. Continuous process improvement ensures that data analytics has a positive impact on the business.

Creating a Data-driven Culture: The people who make decisions have to go by the data. Everyone must use data analytics properly to derive better decision-making. Data-driven culture can cultivated among employees by making data available in visuals, training the employees on how to use them, and encouraging employees to use data in the decision-making process.



Distinct Forms of Data Analytics

Broadly, data analytics can be classified into six major types. Let’s discuss briefly each one of them for better understanding.

Descriptive Data Analytics: Descriptive analytics tells us what happened after analyzing the provided information or data. It is used to analyze historical data to find out patterns and relationships. This is widely used in traffic and engagement reports.

Diagnostic Data Analytics: Diagnostic analytics studies historical data and finds out why particular trends, outcomes, or incidents happened.

Predictive Data Analytics: Predictive analytics finds out what is likely to happen in the future after analyzing historical data and combining statistical models, data mining techniques, and machine learning. This is widely used in finance, entertainment, and hospitality sectors.

Prescriptive Data Analytics: Prescriptive analytics goes beyond forecasting the future. It suggests approaches and courses that need to be taken to achieve the desired results. This is used in financial, healthcare, retail consumer, public, manufacturing, and hospitality sectors.

Real-time Data Analytics:  In this type of data analytics, the data is used for analysis as soon as it enters the system. The computer responsiveness is immediate. It is used for real-time operation decisions and policy enforcement. Real-time analytics is used where a low response time is required.

Real-time analytics helps businesses in reacting without delay and quickly detect and respond to patterns of user behaviour. This helps in preventing problems before they arise. It is in the financial sector, customer relationship management, and fraud detection.

Augmented Data Analytics: As per Wikipedia, augmented analytics was introduced in 2017 by Rita Sallam, Cindi Howson, and Carlie Idoine. Augmented data analytics uses machine learning and natural language processing to automate analysis processes.

Augmented analytics consists of tools and software that recommend, and provide insights and guidance. It is more frequently used by businesses and executives. It helps analysts to work faster, efficiently, and accurately. It provides a complete picture and insight.

Data analytics and data analysis are sometimes used interchangeably. However, both are different in scope and aim. The former is more tactically focused, whereas the latter is more broadly and strategically oriented.

After the above discussion, we have understood what data analytics is, what are the processes involved in data analytics, and different approaches to data analytics.

Explore more about the in-demand:


The Top 10 data analytics courses in Ethiopia With Job Placements



IIM SKILLS is one of the leading websites that offer high-quality online training and career counselling. They offer instructor-led online data analytics courses in Ethiopia. They offer lifetime access to all course materials and support students throughout their educational journey.

This is the greatest and safest alternative you have selected if you are from Ethiopia and wish to pursue a career in data analytics.

The online platform allows students to access this course at any time and from any location. They provide excellent support and career advice, as well as placement assistance. Before registering for the course, you can begin with a complimentary trial session that explains the insights of the course and makes your selection.

IIM SKILLS provides a 6-month online course called the Data Analytics Master Course that is meant to prepare its students for a career as a data analyst. Practical learning tools include Excel, R, Tableau, Python, Alteryx, and Power BI. The candidates will get lifetime access to the recordings of classes in LMS which they can access anytime.


Contact Details:

Name:  Data Analytics Course

Duration: 6 Months Of Training + 2 Months Internship (optional)

EMI: Interest Free

Certification: Yes

Fees- 34363.77 Ethiopian Birr


The Course Curriculum is Highlighted Below:

  1. Data Analytics With Advanced Excel
  • Introduction to Data Handling
  • Data Visualization in Excel
  • Data Manipulation Using Functions
  • Data Analysis and Reporting
  • Overview of Dashboards
  • Creating dashboards in Excel using Pivot controls
  1. Data Analytics Using VBA
  • Introducing VBA
  • Key Components of Programming Language
  • How VBA Works with Excel
  • Programming constructs in VBA
  • Functions and Procedures in VBA: Modularizing your programs
  • Objects & Memory Management in VBA
  • Communicating with Your Users
  • Others
  1. Data Analytics Using SQL
  • Basics RDBMS Concepts
  • Utilizing The Object Explorer
  • Data Based Objects Creation (DDL Commands)
  • Data manipulation (DML Commands)
  • SQL Server Reporting Services
  • SQL Server Integration Services
  • Others
  1. Data Analytics Using Power BI
  • Introducing Power BI
  • Data Preparation and Modelling
  • Keep and remove rows, add remove, and go to columns
  • Data Analysis Expressions (DAX)
  • Reports Development (Visuals in Power BI)
  1. 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
  • Basic Visualization Tools
  • Visualizing Geospatial Data
  • Data Visualization With Python
  • Advanced Visualization Tools
  • Statistical Methods & Hypothesis Testing
  1. Data Analytics Using Tableau
  • Getting Started
  • Data Handling & Summaries
  • Building Advanced Reports/ Maps
  • Table Calculations
  • Calculated Field
  1. R For Data Science
  • Data Importing/Exporting
  • Data Manipulation
  • Data Analysis
  • Data Visualization with R
  • Using R with Database
  • Introduction to Statistics
  • Linear Regression: Solving Regression Problems
  • Testing
  1. Data Analytics Using Alteryx
  • Overview of the Alteryx course and fundamental concepts
  • Understanding the User Environment and Alteryx Settings
  • Remove from the data set
  • Understanding Alteryx Designer
  • Connect to data sources
  • Alteryx designer Interface
  • Set data field types
  • User and Workflow settings
  • Remove and rename fields
  • Filtering Data/Data processing
  • S Blending/Join Data from Different Sources
  • Filtering Using String Data
  • Find a customer with 10 or more transactions
  • Input Data, Dynamic Rename, Text to columns, Transpose
  • Identify common data fields
  • See how all records fit the filter
  • Data Cleansing
  • Impute Values
  • Random Sample

Course name: Data Analytics Master Course

Duration: 6 months of training including 2 months internship (optional)

Fees: 33986.47 Ethiopian Birr + Taxes

EMI: Interest Free

Certification: Yes


Contact Details:

Phone number: +919580740740

Email address: [email protected]

Website: https://iimskills.com/

You may also be interested in:


2. AnalytixLabs

AnalytixLabs is a well-known data science institute that offers industry-relevant data analytics courses in Ethiopia. AnalytixLabs not only provides data analytics online courses; it also guides candidates by providing a wide spectrum of well-selected curricula for students from a variety of backgrounds. The course will train candidates in analytics and reporting skills using MS Excel, VBA, MS Access, SQL, and Power BI.

The Course Curriculum is Highlighted Below:

  1. Building Blocks and Data Analytics In Excel
  2. Data Analytics In SQL
  3. Data Analytics & Visualization with Power BI
  4. Automation with VBA
  5. Assignments
  6. Projects

Course Name: Data Visualization & Analytics

Certification: Yes

Also, Have A Look At These Investment Banking Courses 


3. Udacity

Udacity is an online learning platform that offers data analytics courses in Ethiopia. They specialize in a spectrum of courses that include programming, data science, AI, machine learning, autonomous systems, cloud computing, and other subjects, among the many courses and nanodegree programs.

All the online courses are instructed by professionals and experts in business. To assist students in succeeding in their chosen fields, they receive career services, mentorship, and individualized feedback from Udacity.

The Course Curriculum is Highlighted Below:

  1. Welcome to the Data Analyst Nanodegree Program
  2. An introduction: Data analysis with Pandas and NumPy
  3. Advanced-Data Wrangling
  4. Assessing Data
  5. Cleaning Data
  6. Real-World Data Wrangling In Python
  7. Data Visualization With Matplotlib And Seaborn


4. WsCube Tech

WsCube Tech is another institute that offers data analytics courses in Ethiopia. They provide a comprehensive curriculum taught by seasoned professionals from the industry. To help students obtain real-world experience and become experts, WsCube Tech offers practical, hands-on training through real-world projects and case studies. They frequently host workshops, seminars, and corporate training programs.

The Course Curriculum is Highlighted Below:

  1. Part- I: Python Programming
  2. Part- II: Data Science Libraries
  3. Part- III: Data Visualization
  4. Part- IV: SQL
  5. Part- V: Advanced Excel

Also, Check this recommendation for Investment Banking Courses 


5. Coursera

Coursera offers a range of data analytics courses in Ethiopia in online mode. To complete the course it takes three to six months and is intended for novices. The program is designed to assist students in developing the fundamentals of data analytics and align them for employment in the area.

The Course Curriculum is Highlighted Below:

  1. Data Analysis
  2. Creating case studies
  3. Data Visualization (DataViz)
  4. Data Cleansing
  5. Data Science
  6. R Programming
  7. Dashboard
  8. Data analytics with SQL
  9. Data analytics with R
  10. IBM Cognos Analytics
  11. Data analytics with Numpy and Panda
  12. Relational Databases (RDBMS)


6. Besant Technologies

Besant Technologies is one of the leading IT companies that offers online data analytics courses in Ethiopia. The training program of Besant Technologies is designed in such a way that it gives students the abilities they need to gather, comprehend, process, and arrange data to use different software to accomplish particular objectives.

The Course Curriculum is Highlighted Below:

  1. Introduction to Statistical Analysis
  2. Introduction to Data Analytics
  3. Excel: Basics to Advanced
  4. SQL
  5. Tableau
  6. Power BI
  7. Python Basics


7. Simplilearn

Simplilearn is another institute that offers data analytics courses in Ethiopia in an online learning platform. Along with data analytics, they also provide other professional certification training courses in various fields. Simplilearn offers courses created by professionals and industry experts and it is combined with theoretical knowledge and practical skills needed to succeed in particular fields.

The objective of Simplilearn is to offer easily accessible and adaptable educational solutions to students who want to explore new career pathways or reskill themselves for the quickly changing business and technology landscape.

The Course Curriculum is Highlighted Below:

  1. Business Analytics with Excel
  2. SQL
  3. Programming Basics and Data Analytics with Python
  4. R Programming for Data Science
  5. Data Analytics with R
  6. Tableau Training
  7. Data Analyst Masters Capstone
  8. Power BI
  9. Industry Master Class: Data Analytics

Course Name: Data Analyst

Certification: Yes


8. Edureka

Edureka offers data analytics courses in Ethiopia in an online mode designed to provide a thorough understanding of various aspects of data analytics. They cover big data technology, machine learning, statistical analysis, and data visualization.

The Course Curriculum is Highlighted Below:

  1. Python Programming Certification Course
  2. Tableau Certification Training Course
  3. Microsoft Power BI Certification Training Course
  4. Statistics Essentials for Analytics
  5. Data Analytics with R Programming Certification Training
  6. AWS Data Analytics Course

Course Name: Data Analytics Masters Program

Certification: Yes

Contact Details:

Phone Number: +91 89517 55408

Email address: [email protected]


9. Udemy

Udemy offers data analytics courses in Ethiopia in an online mode that to cater different skill levels of students ranging from beginners to advanced. The goal of Udemy’s data analytics courses is to equip students with useful skills and insightful knowledge of the industry so they can grow in their jobs and look for new chances in this field which is changing very fast.

The Course Curriculum is Highlighted Below:

  1. SQL
  2. Microsoft Power BI
  3. Data Analysis
  4. Business Analysis
  5. Tableau
  6. Data Visualization
  7. Data Modelling


10. Springboard

Springboard is another online learning platform that offers career-focused data analytics courses in Ethiopia. They specialize in an online boot camp on data analytics that trains students on how to use analytics and data in strategic thinking and problem-solving.

Springboard’s data analytics course takes six months for course completion. They also offer career coaching, employment assurance, and mentorship.

The Course Curriculum is Highlighted Below:

  1. Structured Foundations
  2. Microsoft Excel for Business Analytics
  3. Financial Analysis
  4. Economics for Data Analysis
  5. Statistics for Data Analysis
  6. Data Visualization Tools
  7. The Art of Storytelling
  8. Data Connectivity
  9. Data Analysis in Python
  10. Projects
  11. Career Support




Q. What is the scope of data analytics in Ethiopia?

The country has a sizable and fast-expanding data analytics market. There is no denying the fact that nowadays, the decision-making process is data-driven, hence, propagating the demand for data analytics courses.

In general, the use of data analytics globally has been increasing ever since. The variety and nature of modern-day business have increased the demand for data analytics, hence courses. The challenges in the business world are ever increasing which has resulted in more and more companies and organizations dependence on data to get insights and decision-making.

Q. Is this course suitable for freshers?

Yes, this course will benefit professionals as well as freshers.

Q. How would a data analytics course go to help in my career?

The data analytics courses can help a worker in Ethiopia in several ways.

Improvement in skill level
Independence in work
Better career growth opportunities

Job security

Higher salary and bonus

All things considered, enrolling in data analytics courses can provide people with highly sought-after skills that are in great demand across industries. This will not only help in both personal and professional growth but the nation as a whole.

Q. What is the required qualification for the data analytics course?

A Bachelor’s degree. However, knowledge of computer programming, statistics, and mathematics will be an advantage.

Q. Will I get jobs in another country?

Yes, the course is designed in such a way that, after successful completion of the course, you can apply as a data analyst in any country.

Q. What salary can one expect after completing the data analytics course?

The salary of a data analyst can vary depending on experience level and the industry where the data analyst works. Based on available statistics, the following can be listed:

  • Junior Data Analyst: In the Addis Ababa region, the typical monthly income for a Junior Data Analyst is ETB 22,800. The anticipated total pay for this position is approximately ETB 49,800.
  • Data Analyst: The average pay of $23,871 per year is earned by remote data analysts in Ethiopia.
    · Senior Data Analyst: The median compensation for a Senior Data Analyst was found to be ETB 92,535 per month, therefore, one should anticipate a higher wage.

These numbers are illustrative and subject to change depending on the size of the organization, and the education and certification held by the analyst. However, referring to local job postings and wage surveys will yield the most up-to-date and comprehensive information.



With several factors promoting the use of data analytics, the data analytics courses in Ethiopia seem to have a bright future in many ways.

As organizations in various sectors of the economy depend more and more on data to make decisions, there is a high probability that individuals with data analytics skills and experience will be in high demand.

The penetration of the Internet in Ethiopia is increasing every day, and the availability of the Internet to students helps in getting skills and tools to succeed in the digital age.

Data analytics is used in several industries globally. No wonder why data analytics cannot play an important role in the growth of agriculture and other sectors of the economy of Ethiopia. Thus, we can conclude that data analytics courses have a major role to play in the future.

Join Free Data Analytics Demo Class with IIM SKILLS

This field is for validation purposes and should be left unchanged.