Data Science Career Accelerator (IBM Track)
Already know the basics of data? This program helps you level up into data science with Python, machine learning, and real-world projects—guided every step of the way.
Break Into Data Science — Build Real Skills That Employers Demand
Level: Intermediate
Prerequisite: Basic data analytics (Excel, SQL, or Python)
Duration: 12–16 weeks (Cohort-Based)
Format: Live + Hands-On Labs + Self-Paced Learning
Powered by: IBM via Coursera
Certification: IBM Data Science Professional Certificate
Start Date: [Insert Next Cohort Date]
Seats: Limited to 20 learners
By the end of this program, you will:
Use Python for end-to-end data science workflows
Work with SQL for data extraction and analysis
Apply data visualization and storytelling techniques
Build machine learning models (regression, classification)
Understand the full data science lifecycle
Python (Pandas, NumPy, Scikit-learn)
SQL
Jupyter Notebooks
Data visualization tools
Python data science notebooks
Machine learning models
Data analysis reports
Portfolio-ready capstone project
Weeks 1–3: Python for Data Science
Python fundamentals for analytics
Data manipulation (Pandas, NumPy)
Working with real datasets
Weeks 4–6: Data Analysis & SQL
Data wrangling & cleaning
SQL for real-world datasets
Data exploration techniques
Weeks 7–10: Visualization & Insights
Data visualization (charts, dashboards)
Storytelling with data
Communicating insights for business
Weeks 11–13: Machine Learning Foundations
Supervised learning (regression & classification)
Model evaluation
Practical ML workflows
Weeks 14–16: Capstone Project
Solve a real-world data problem
Build a complete data science project
Present findings like a professional
This program prepares you for:
Data Scientist (Entry-Level)
Data Analyst (Advanced)
Machine Learning Analyst
Analytics Consultant
Career Accelerator Pricing
KES
Apply Now — Limited Seats for Advanced Cohort
Guided Programs. Cohort Training. Enterprise Training
Learn concepts. Build skills. Apply to your Job/ business. Grow sustainably
Step 1: Learn
Access practical, market-relevant training designed for real-world application.
Step 2: Apply
Work on real challenges, case studies, and tools that translate learning into action.
Step 3: Grow
Leverage skills to unlock opportunities—employment, enterprise growth, and partnerships.
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Send us an email: partners@urgeskillup.com
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