DataHack Academy

About Us

Who We Are

Datahack Academy is a premier learning institution dedicated to empowering individuals with cutting-edge data and digital skills. We are committed to bridging the gap between academic knowledge and industry demands by offering practical, hands-on training that prepares learners for real-world challenges. At Datahack Academy, we recognize that every learner’s journey is unique; that’s why we provide flexible learning modes—including online, in-person, and hybrid options—to ensure accessibility and convenience for students across different regions and backgrounds. Our programs range from beginner-friendly courses such as Data Analytics with Excel, Power BI, Tableau, and SPSS, to advanced training in Data Analysis with Python, Machine Learning, and Data Science. By combining expert-led instruction, mentorship, and project-based learning, we foster an environment where learners not only gain technical expertise in tools and programming languages but also develop problem-solving and analytical skills that enable them to thrive in today’s data-driven economy.

What We Offer

At Datahack Academy, we provide a wide range of carefully designed courses that equip learners with in-demand data and analytical skills. Our training programs are structured to ensure both beginners and advanced learners can progress confidently in their career paths.

Data Analytics with Excel – Learn the foundations of data handling, reporting, and visualization using the most widely adopted tool in business.
Data Analytics with Power BI – Build interactive dashboards and reports to communicate insights effectively.
Data Analytics with Tableau – Master visualization techniques to tell compelling data-driven stories.
Data Analysis with Python – Gain programming skills to clean, analyze, and visualize data with efficiency.
Data Science (Part-time) – Explore advanced techniques in predictive modeling, statistics, and applied data science.
Machine Learning – Teaches the development of algorithms and predictive models.
Statistical Tools (SPSS, STATA, SAS) – Strengthen your knowledge in applied statistics for research and analytics.

All our programs are hands-on and project-driven, ensuring learners build practical portfolios that showcase their skills to employers. We also provide mentorship, career guidance, and flexible learning modes (online, in-person, and hybrid) to match every student’s lifestyle and professional goals.

Key Stakeholders

We are proud to serve a diverse group of individuals and organizations who are essential to our mission of providing high-quality data education.

Students and Learners: Individuals from diverse backgrounds seeking to upskill, reskill, or start a new career in data.
Industry Partners: Companies and organizations that collaborate with us to provide internships, mentorship, and job opportunities for our graduates.
Instructors and Mentors: Seasoned data professionals who share their expertise and guide our students through the learning journey.
Alumni Network: Our graduates who contribute to the tech community and serve as a resource for current students.
Academic Institutions: Universities and colleges that partner with us to enhance their curriculum and offer specialized data courses.

Our Mission

To bridge the digital skills gap by making high-quality data education affordable and accessible.

Why Choose Us

Our programs combine expert mentorship, hands-on projects, and real-world case studies to prepare you for the job market.

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New Course! Advanced Excel is now available.
Notice: Next live session on Python is on Monday at 10 AM.

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Upcoming Classes / Deadlines

Mon, 10:00 AM

Live Class: Python Basics

Fri, 5:00 PM

Assignment 1: Data Cleaning

Extra Learning Resources

Recommended tutorials on data visualization.
Read the latest articles on our DataHack Academy blog.
Download free Career Resources (CV templates, interview tips).

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Contact Us

We're here to help! Reach out to us with any questions about our courses, financial aid, or anything else.

Email: admin@datahack.online

Phone: +254799544396

Location: Nairobi, Kenya

Live Session: Python Basics

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