Apply for DataraFlow Cohort 2.0: Free 6-Month Tech Internship Program 2026
Applications are now open for DataraFlow Cohort 2.0, a free, six-month online internship and talent acceleration programme designed to help participants build job-ready skills in Data Science, Machine Learning, and Generative AI through structured learning, real-world projects, strict accountability, and public portfolio development.
DataraFlow is not designed as a casual or self-paced course. The programme requires consistent participation, daily learning goals, weekly deliverables, peer accountability, and public documentation of progress. Participants who repeatedly miss milestones may be removed from the programme.
About DataraFlow
DataraFlow is an Africa-focused talent accelerator that develops job-ready data professionals by combining technical training with accountability, project-based learning, and consistent public documentation of progress.
The programme is structured to help participants move beyond passive learning by requiring them to build, publish, and demonstrate what they learn over an extended period.
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About the Programme
The DataraFlow 6-Month Internship is an intensive online learning experience focused on building practical competence in data and AI.
Participants are expected to commit approximately 15–20 hours per week for six months and complete daily goals, weekly assignments, project work, and public documentation.
The programme is especially suitable for individuals who want to build a strong portfolio and develop the consistency needed for real-world data and AI careers.
What You Will Learn
Participants will gain practical exposure to:
- Python for Data Science
- Data Analysis
- Data Visualization
- Statistics
- Exploratory Data Analysis
- Clustering
- Natural Language Processing
- Web Scraping
- Machine Learning
- Cloud Deployment
- Generative AI
- Agentic AI
- Research
- Real-world project development
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Programme Structure
The programme is structured around four major pillars:
- Daily learning objectives
- Weekly deliverables and assignments
- Peer accountability systems
- Public documentation of progress
Participants are expected to work consistently throughout the six-month period and keep up with required milestones.
Eligibility and Requirements
Applicants should:
- Have access to a laptop.
- Have reliable internet access.
- Be able to commit 15–20 hours per week.
- Be willing to complete daily learning goals.
- Be prepared to submit weekly assignments and project deliverables.
- Be comfortable documenting their progress publicly.
- Be willing to publish work through platforms such as GitHub and blogs.
- Be ready to work within a strict accountability structure.
- Be willing to complete projects and build a public portfolio.
- Follow DataraFlow on its required social media platforms.
The programme application also asks applicants to provide their educational background, course of study, GitHub profile, LinkedIn profile, professional headshot, and detailed essay responses.
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Application Essay Requirements
Applicants will be asked to explain:
- Why they should be admitted.
- Why they want to join DataraFlow.
- How many hours per week they can commit.
- How they plan to stay consistent when challenges arise.
- A previous project that required sustained effort.
- Tools and platforms they have used for coding, data analysis, or AI.
- Their comfort level with publishing work publicly every week.
Accountability Expectations
This programme has a strong emphasis on consistency and discipline.
Participants are expected to:
- Meet daily learning targets.
- Submit weekly deliverables.
- Participate in peer accountability groups.
- Publish work publicly.
- Maintain visible progress throughout the programme.
DataraFlow clearly states that participants who repeatedly fall behind or fail to meet required milestones may be removed.
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Benefits
Participants will gain:
- Free access to a six-month intensive training programme.
- Practical Data Science and AI skills.
- Real-world project experience.
- A stronger public portfolio.
- Experience using GitHub and public documentation.
- Exposure to Machine Learning and Generative AI.
- Accountability systems that encourage consistency.
- Peer learning and collaboration.
- Job-ready technical skills.
- Experience building and publishing projects over time.
Programme Details
- Programme: DataraFlow Cohort 2.0
- Duration: 6 Months
- Mode: 100% Online
- Weekly Commitment: 15–20 Hours
- Cost: Free
- Deadline: 31st July, 2026
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Who Should Apply
The programme is suitable for:
- Students
- Graduates
- Career switchers
- Aspiring Data Scientists
- Aspiring Machine Learning Engineers
- Aspiring AI professionals
- Individuals interested in Generative AI
- Applicants who want to build a strong project portfolio
- Learners who can commit consistently for six months