Top 5 Data Analytics Courses in Kenya With Placements
The global digital revolution has been taking place over the last few years. Every type of firm must undergo digital transformation, especially in the wake of COVID-19. Understanding different methods and tools on digital platforms are important since digital transformation is a requirement. The knowledge of digital tools and procedures in numerous fields is expanded through many courses. Analytics of data is one of them. Organizations use data analytics to make important decisions and develop strategies for expanding their businesses. For your ease, we created a list of data analytics courses in Kenya.
It is best to understand data analytics and the need to learn it before diving into the list of data analytics courses in Kenya. You will get an understanding of data analytics as a result. Additionally, knowing these facts enables you to make the best option while selecting a data analytics course over another one. If you want to do data analytics courses in Kenya or someplace else, these details will undoubtedly be useful.
What is Data Analytics?
In simple terms, “data analytics” is nothing more than the examination of information that has been obtained for a certain purpose. As an illustration, imagine that an ice cream shop owner asks each client which of the two flavors they prefer, Vanilla or Chocolate.
He gathered all the information and can give his customer a 10% discount on the flavor they find the most appealing. Or he could utilize this analysis as a marketing tool. This is possible as he gathered data from his customer and do an analysis of the data. Now, consider the same illustration more broadly.
How tedious to ask each client every time for getting their favorite flavor of ice cream! Also, time-consuming to get the results every time. In place of this manual process, this process can be automated. Clients can fill out the form, and data is stored in the system. Now, some automated processes can do the rest of the tasks.
The whole process of entering data to set automated processes is the lifecycle of data analytics. Data analytics is a process divided into different phases. This understanding of data analytics is quite elementary. But data analytics application in the actual world is highly diverse. In the digital era, data collection from a variety of audiences and analysis using various methods for various reasons are both available.
When paying hard-earned money to an institution for a data analytics course, a person should be aware of the benefits of taking it. They will be better able to decide on a plan of action and prepare for the future as a result. Before diving into the course selection, a few questions come to mind.
- Why data analytics?
- Data analytics is the right course for me.
- Future as a data analyst
- CTC of data analyst
- Positions of data analyst
- Why data analytics courses in Kenya?
Why Data Analytics?
When choosing a data analytics course, the question comes into mind, ‘Why?’ this course? What is the requirement to develop skills in this area and how it will be beneficial to the business? There are many reasons to develop skills in data analytics nowadays.
To Sharpen Your Skills:
As a person, you can have excellent problem-solving skills or critical thinking abilities. But when it comes to business-related decisions, skills need to be updated according to the day-to-day requirements in various areas of business. Such courses challenge your ability and allow you to upskill yourself. So, that upgradation can be used to benefit business growth and revenue generation. A person who has the most recent skill set may have a better chance of succeeding in a field of opportunity.
In Great Demand:
Today, every industry, large or small, uses a variety of methodologies, thus highly skilled employees will be needed. There are greater opportunities for horizontal or vertical growth for someone with strong credentials and experience who also has an in-depth understanding of cutting-edge technologies like data analytics. These technologies will broaden the range of potential work opportunities. Not only for implementing data analytics skills but to enhance its ability or to maintain it, a skilled person is required.
Regardless of the industry, whether it be healthcare, government, cloud computing, the travel and hospitality sector, or the aerospace sector. Due to its widespread accessibility, the talented pool has new industry alternatives. If we apply economics very popular demand and supply theory here, this is the perfect time to consider data analytics as a career option. Skilled people can take up the corporate domain of their choice.
Growing Day by Day:
The fastest-growing technology, data analytics, necessitates expertise to meet both the present needs of the technology and the progress of the technology shortly. People who are skilled and trained will therefore continue to have chances in the future. Gaining insight into problem resolution is made possible by data analytics skills.
However, it’s also important to evaluate other relevant abilities in person together with data analytics expertise. Communication skills are crucial because of data analysts’ important inputs in business-related vital choices. Effective communication abilities can help to understand complex ideas and make them understandable to others.
Data Analytics is the Right Course
Data analytics is a method for obtaining statistics for a data-driven company. Therefore, anyone can pursue a profession in data analytics. However, some fundamental information is necessary to learn such sophisticated approaches and can further the objectives of this methodology.
A bachelor’s degree with at least 50% of the needed marks in Computer Science, Information Technologies, Mathematics, or Statistics from an accredited university is required. Both undergraduate and graduate students may take the courses. There are also some diploma and certificate programs available.
Therefore, when selecting a course, you must take into account the type of degree you currently hold as well as the type of degree or certification you wish to pursue. Also, if you have excellent problem-solving skills or critical thinking abilities, data analytics is the perfect fit for you.
Other than this any management professionals, finance and accounting professionals, professionals from BO and KPO domains, and professionals who consider enhancing their career can do a data analytics course.
Future of Data Analyst
Gaining customers or reducing costs for businesses is crucial in this cutthroat economy. This rivalry is more difficult now that we live in the digital age. But it is also simple to compete in the market thanks to strategies like data analytics. Therefore, India and other countries provide a better future for data analysts. Data analytics is a field with a bright future because it is a sector that is expanding daily.
CTC of Data Analyst
With less than one year of experience, an entry-level Data Analyst can expect to make an average total salary of KSh 748,800, which includes tips, bonuses, and overtime pay. The average annual salary for a Data Analyst in their first five years of employment is KSh 961,001. A mid-career Data Analyst with 5-9 years of experience earns an average total compensation of KSh 987,099.
Position of Data Analyst
There are many challenging roles and responsibilities as a data analyst in the company. Data analytics training/course can fit anybody in the below job roles.
- Data Architect
- Applications Architect
- Infrastructure Architect
- Enterprise Architect
- Data Scientist
- Data Analyst
- Data Engineer
Why Data Analytics Courses in Kenya?
Many institutes offer data analytics courses worldwide. But there are a few reasons why enroll in data analytics courses in Kenya.
- If you are from Kenya or a near city, can attend the program in person if the institute offers an offline mode of learning.
- There are more opportunities to learn about the same business because Kenya is also widely recognized for international business and opportunities. So, if you did data analytics courses in Kenya, more chances to get selected.
Also Read: Financial Modeling Courses in Kenya
Let’s Explore the List of Data Analytics Courses in Kenya
1. Data Analytics Courses in Kenya With Excelr
In the field of technical and managerial training, Excelr is present in 40 nations. With more than 400 corporate clients and 15000 professionals trained in a variety of courses, Excelr has more than ten years of expertise in the training industry. Project management, Agile, IT service management, and quality assurance are all areas in which Excelr offers training.
Their skilled employees work with MNCs and flourish in their fields. They offer three certifications in one. The first certificate is for completing an Excelr course, while the second is for completing an internship and earning an IBM credential using an AI variation.
Course Name: Data Analytics Certification Training Course
Program Duration: 6 months
Mode of Learning: Online mode of learning
Candidates for the ‘Data Analytics Certification’ must hold a bachelor’s degree from the science/commerce/engineering stream.
The cost of the ‘Data Analytics Certification’ is $750 for virtual classroom training. The certificate cost is not included in this.
- 10+ Industry relevant projects give a great chance to work in the real world
- 60+ Case studies and assignments to give experience and live project exposure
- Have a very strong network with companies tied up with 350+ companies
- 100% placement assistance to every student as per their need
- 160+ hours of learning and lifetime access to learning material.
- Business Statistics
- Advanced Excel
- Basics of R
- Basic Python
- Power BI
These topics cover database concepts, pivot tables, functional charts and slicers, and data visualization.
2. Data Analytics Courses in Kenya With Digital4africa
The only online and marketing firm in Kenya dedicated to providing value-based services is Digital4Africa. Digital4Africa provides training to people to grow their businesses to the next level. They provide training in various areas like Data Analytics, Digital Marketing, Online Marketing, and Sales Training.
Course Name: Data Analytics Course for Business Growth
Program Duration: 4 days, daily 2 hours with 30 days free mentorship
Mode of Learning: Provide online, off-line and bladed training
This course is for business professionals so Data Analysts, Sales Representatives and Managers, Digital Marketing managers, SEO Experts, Customer Experience officers, and Operations Managers can enroll.
The cost of the ‘Data Analytics Course Training’ is Kshs 35,000 + VAT. Various payment options are available.
- Designed by industry experts so an opportunity to get real word experience
- Practice with the latest tools
- Customized training program
- Case studies
- 360-degree solutions
- Templates, checklists, and insights are given.
- Support and mentorship
- Data Quality
- User Research
- Data Collection Tools
- Data Visualization
- Interpretation of Data
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3. Data Analytics Courses in Kenya With Mount Kenya University
Mount Kenya University offers Kenya’s second-best data analytics courses. To give Small and Medium Enterprises (SMEs) in Kenya, the tools and resources they need to create data-driven business models, Mount Kenya University (MKU) and the Data Analytics Institute (DAI) have created a special program.
Enrolling in this course is recommended for SME Managers and Business Owners who are interested in learning about and using Data Analytics knowledge to expand their business models. The objective is to quickly get you up to speed on data science and technology without losing any of the foundations.
Course Name: Data Analytics for SEM
Mode of Learning: Offline mode of learning at a specific location. Nationwide training conducted at various locations.
Course Fees: The cost of the ‘Data Analytics Course’ is Ksh. 5,000 including VAT. If enroll early can get the advantage of a discount on fees.
- The power of Data Analytics for SMEs
- Designing a Data Science project
- Practical Tools and Data Science Resources
4. Data Analytics Courses in Kenya With the United States International University – Africa
The Data Science and Analytics program seeks to produce graduates with specialized training who have the essential computer science and mathematical skills necessary to present, analyze, and ultimately comprehend data sets. Computer science, mathematics, modeling (applied mathematics), and statistics are just a few of the technical areas in which graduates of this degree will be knowledgeable and skilled.
To help businesses and organizations make data-informed decisions, the course provides students with the information, skills, and attitudes they need to extract value and meaning from vast amounts of data. Throughout the course, students will learn about data management, algorithms, and data analysis to get a foundational grasp of data science and analytics.
Students will receive in-depth instruction in predictive, descriptive, and prescriptive analytics while creating data-driven systems for business or government decision-making. Students who complete the course will have the analytical, computational, critical thinking, problem-solving, and communication skills necessary to analyze vast volumes of data.
Course Name: Bachelor of Science in Data Science and Analytics
To get admission to this program, students have to satisfy any one of the below requirements.
- C+ for Kenya Secondary Certificate of Secondary Education (KCSE) holders or
- Two or more primary passes in the KACE, EACE, or
- Five (5) upper-level passes at IGCSE/IB
- Five (5) credits in any 5 subjects at ‘O’ Level or ‘A’ Level passes of C at GCE
- Kenya National Examination Council (KNEC) diploma or equivalent.
Lower Division Courses:
- Probability and Statistics
- Linear Algebra
- Differential Equations
- Computational and Analytical foundation
- Introduction to Programming
- Database Systems
- Introduction to Data Science
- Discrete Mathematics for Data Science
- Optimization Techniques
- Numerical Analysis and its Application
- Probability and Statistics II
- Statistical Inference
- Programming with R
- Sample Surveys
- Principles of Machine Learning
- Algorithms and Data Structures
- Data Mining and Analytics
Upper Division Courses:
- Introduction to Artificial Intelligence
- Statistical Modeling
- Analysis and Designs of Experiments
- Mathematical Modeling and Simulation
- Decision Theory and Bayesian Inference
- Mathematical Finance
- Object Oriented Programming
- Big Data Analytics
- Knowledge-Based Systems
- Big Data Security
- Applied Machine Learning
- Advanced Programming for Data Science
- Applied Project Data Science
- Survival Analysis
- Query Language and Advanced database
- Data Science Internship
- Applied Project in Data Science 2
5. Data Analytics Courses in Kenya With Simplilearn:
To provide project management advice and business information, Simplilearn created a blog in 2009. In 2010, the blog not only featured blogging but also offline and online PMP training. However, in response to the significant demand for additional courses, Simplilearn released 5 more management and IT courses in 2011. Two million people have been trained by SimpliLearn globally, and it keeps making progress each year.
Course Name: Postgraduate Program in Data Analytics, Nairobi
Program Duration: 8 months
Mode of Learning: Online mode of learning
Candidates for the ‘Postgraduate Program in Data Analytics’ must hold a bachelor’s degree with an average of at least 50% to apply. Both prior work experience and programming language expertise are not required.
There is a three-step process for getting admission. First, apply for the course. Second, the institute will review your application. Third, getting admission.
The cost of the postgraduate program in data analytics is $178.33 if avail payment is in installments. Total admission fees are $2,140.
- Conducting hackathons and asking me anything session by IBM
- Interactive online classes with industry expert
- Job assistance provided by Simplilearn
- 3 domains and 14+ Data analytics projects with datasets from Google play store, Lyft, world bank, etc.
- Certificate for professional training
- Alumni association membership provided
- 24/7 support provided
- Data Analytics Foundation
- Python Data Analysis and Basic Programming
- R Programming for Data Science
- Data Science with R
- Tableau Training
- Data Analytics Capstone
- Power BI
- Introduction of Artificial Intelligence
- Master Class Purdue University
- Industry Master Class Data Analytics
- Microsoft Excel
Frequently Asked Questions (FAQs)
Q1. Why data analytics is so important nowadays?
Data analytics are a must for any business that wants to flourish in the current fast-paced market. Expertise in data analytics is highly sought after by enterprises. Data analytics are essential since they are required for developing corporate strategy and for making important business decisions. Without proper data analysis, it is very difficult to get insight into the future of business. Based on data analytics, it is possible to get market trends and client convictions.
Q2. As a data analyst, what exactly do I need to do?
The duties of the data analyst might be specified depending on the industry. But the first task for a data analyst is to obtain structured or unstructured data. Understanding the collected data is necessary. The sole purpose of this all-data exercise is to produce automated chores that will boost productivity for daily tasks.
- Collecting Structured or unstructured data
- Understanding of gathered data.
- Removing / Deleting unnecessary data
- Transform data according to the need
- Visualize data as a final result
Q3. What are the job prospects for data analytics?
In the digital world data is everything. And a person with a specialization in data analysis or manipulation of data is always in demand. A fascinating career path that can be opened up by working as a data analyst is data science, management, consultancy, or specialty. Specialty can be in various industries like Business Analyst, Financial Analyst, Operations Analyst, Marketing Analyst, Healthcare Analyst, and System Analyst.
Q4. Non-professionals / Non-programmers can join this course?
Yes, of course, a non-professional person can join the Data Analytics course. A person with excellent analytical skills and critical thinking ability can do excellent in this course with ease as Data Analytics is the analysis of structured or unstructured data. A Non-programmer can also do this course as in the learning process, the institute teaches programming required for Data analytics.
Before getting admission to data analytics courses in Kenya in any institute, cross-check every aspect of training. Consider the fees you pay, the course content they offer, and post-training assistance from a job perspective. It’s wonderful to get accepted into the institute of your choice. However, any institute has no magic wand with them, which makes you successful or job ready. Your career can only be transformed through hard work.