InfoSorse is committed to developing a highly skilled workforce prepared to lead in the global tech industry, driving innovation, and contributing to economic growth and societal advancement worldwide.

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Data Science and ML

Uncover hidden patterns and insights within vast datasets using advanced techniques in Data Science, Machine Learning, and statistical modeling. Master Python, R, SQL, and algorithms like TensorFlow and scikit-learn for strategic insights, meeting industry demands for data-driven decision-making.

Admission in Progress
87 %

Next Cohort Start Date: 1st October 2025

Cost

Pay $280 / month. Get up to 50% scholarship when you enroll by September 30.

Duration

Graduate in 18 months with a Guaranteed Internship and Job Placement Support.

Effort

Join 4 live sessions weekly (Monday to Thursday) — choose morning or evening.

Program Overview

The 18-month Professional Diploma in Data Science and Machine Learning at InfoSorse offers an interactive learning experience designed to equip learners with the skills and knowledge to excel in the dynamic field of data science and machine learning. With flexible enrollment options—including fully online (weekday or weekend), recorded self-paced study, on-campus, or workplace training—students can choose the mode that fits their schedule while benefiting from live mentorship by industry experts.

Next Cohort Start Date: October 1, 2025

Admission Closes: September 30, 2025

Key Features

  • Duration: 18 months
  • Format: Instructor-led live sessions and self-study
  • Mode: View enrollment options below
  • Mentorship: Live mentorship by industry experts
  • Certifications: Earn up to 5 industry-recognized certifications
  • Pre-recorded Materials: Access to prerecorded self-study materials
  • Quizzes: Regular quizzes to enhance the learning experience
  • Hands-on Projects: Practical, hands-on projects to gain industry experience and build a professional portfolio

Professional Diploma in Data Science

By enrolling in the Data Science program at InfoSorse, you gain comprehensive training in advanced analytical and technical skills and graduate with a Professional Diploma in Data Science and globally recognized certifications. Throughout your journey, you will receive hands-on training in data science techniques, machine learning, and industry tools, preparing you for certification exams and success in the global job market. Upon completion, you will earn:

  • Professional Diploma in Data Science
  • Google Advanced Data Analytics Professional Certificate
  • AWS Certified Cloud Practitioner
  • Microsoft Certified: PowerBI Data Analyst Associate
  • Tableau Certified Data Analyst
  • AWS Certified Machine Learning - Specialty

Industry Certifications

🎓 Enrollment Options

  • Fully Online – Live Virtual Classes + Recorded Lessons (Weekday)
  • Fully Online – Live Virtual Classes + Recorded Lessons (Weekend Only)
  • Recorded Lessons Only (Self-Paced)
  • On-Campus / In-Person – Ghana Only
  • Corporate / Workplace Training — At Company Site or Virtual for Teams
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Start Your Admission Journey

Apply Now

Ready to begin your journey? Apply directly and secure your seat.

Talk to an Advisor

If you need guidance, speak with a Success Advisor.

Join a Live Webinar

Join our live info session to learn more before applying.

Request a Brochure

Request the full program curriculum and structure.

Skills you'll gain

Data Analysis Creating Case Studies Machine Learning Algorithms Data Visualization Data Cleansing Data Modeling Big Data Hadoop Spark SQL Deep Learning Frameworks TensorFlow PyTorch Natural Language Processing AWS and Azure Data Services Statistical Techniques Python Programming R Programming JupyterLab RStudio Git and GitHub Tableau Feature Engineering Model Evaluation and Validation Deployment of Machine Learning Models Time Series Analysis Decision-Making Problem Solving Questioning and Inquiry

Career Outcomes

Graduates of the Data Science and Machine Learning program are well-positioned to pursue rewarding careers in a variety of industries, including finance, healthcare, retail, technology, and more. Potential job roles include:

  • Data Scientist
  • Machine Learning Engineer
  • Artificial Intelligence Engineer
  • Big Data Analyst
  • Data Engineer

We're here to help you take the next step.

For further inquiries, contact our admissions team at [email protected].
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