Gain hands-on experience with the latest data concepts, tools, and applications. Develop the confidence to perform data analysis, work with databases, and create visualizations.
No tech or coding experience required.
Hibreed's Data Analytics course is designed to provide our students with a holistic introduction to data analytics, an understanding of Data Life Cycle, a hands-on experience, and the confidence to work with databases, create visualizations, and communicate data findings.
So, don’t be put off by the jargons and buzzwords because by the end of the course, you will have the skills, experience, and confidence needed to dive into a career in data analytics.
"I really enjoyed the ease of learning with Hibreed, the quality of training program, and the support of the Hibreed community".
Introduction to Data Analytics Course
The “Data Life Cycle” and its implications in a data analytics project.
Common data storage formats and technologies
Key data processing steps e.g., joining datasets, filling in data gaps, creating fields.
Core analytics techniques e.g., summary statistics, group by, sorting.
SQL and it’s uses in data analytics
Python libraries for data analytics i.e., Pandas, NumPy
Data visualization tools i.e., Matplotlib, Excel, Tableau
Communicating findings from data analysis
Build and present an interview-ready Data Analytics project.
Global Data Analytics Certification
Students are awarded their individual Certification upon complete all modules
Next class starts on January 13th, 2024
8 Weeks intensive Saturday sessions
Time / Effort
3 - 6 hours per week for lectures, project work and assessments.
8 Course modules
Mode of Course Delivery
100% Online learning
$390 (or N250,000). You can pay in your local currency
*** Getting an early bird scholarship can reduce your fees by up to 40% (i.e. N125,000). Closes on November 30th, 2023.
*** Installment payment options exist
** Limited slots available
Upon completing the course and meeting the graduation requirements, you will be awarded a recognized credential to share with your network and demonstrate all you've learnt from the program.
Hibreed certificates are formatted for sharing on LinkedIn.
We will provide job recommendations where necessary.
Meet the Course Instructors
Brian Mukeswe, Canada
Lead Data Analyst at MasterCard Inc.
Brian Leads Data Science for Mastercard Canada., under the company’s Cyber and Intelligence solutions division. In his role, he leverages data modelling and statistical analysis to inform fraud investigation strategies.
Brian will be the leading instructor for Hibreed’s Data Analytics course, and will bring his global wealth of experience to guide the students as they explore Data Analytics.
Annette Amoa, Ghana
Data Analyst @ PwC
Annette is master chemical engineering student with a deep passion for data analytics. She has built experience working on data analytics projects within cybersecurity and excellent project management skills at Google.
She has a talent for making complex material understandable and engaging. Her ultimate goal is to help Hibreed students reach their full potential and achieve career success.
Who is this course for?
Anyone who want to get into Tech
This course is designed to give people without tech background an opportunity to start their tech journey through Data Analytics. Which is why it has been designed such that students do not need a coding background to take the course.
If you are passionate about building an innovative business using technology to serve your market and clients - then you should sign up for this course.
If you're preparing to speak the language of data analytics and contribute to strategic discussions and decisions within your company, then you should enroll for this course.
Students & Recent Grads
If you're exploring a new, fast-paced, and highly rewarding career in technology before or after you graduate - then sign up for this course.
If you're leading a team in this rapidly changing world of work as technology and data is driving business growth at an accelerated pace - then sign up for this course to be more efficient.