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Data and Machine Learning · Program

Data Analytics

Data Analytics with Python is a 3-month, hands-on program at BISOFTECH that equips learners with Python, statistics, and industry tools (NumPy, Pandas, Matplotlib, Seaborn, Plotly, Power BI, Tableau) to collect, clean, analyze, and visualize data. Through real-world projects and an internship, participants build a strong portfolio and graduate job-ready with international certification

  • 12 weeks
  • 120,000 FCFA
  • 14 modules
  • Pay in 2
Curriculum outline
  1. 1

    Introduction to Data Analytics

    An overview of Data Analytics, Data Analytics tools, and careers in Data Analytics.

  2. 2

    Essential Mathematics

    Foundational statistics and math concepts (linear algebra, statistics, and probabilities) needed to interpret and manipulate data correctly.

  3. 3

    Data Manipulation

    Using Python to load, filter, transform, and restructure datasets for analysis.

  4. 4

    Analysis & Visualization Tools (Pandas, Numpy, Polars, Matplotlib, Seaborn, Plotly, Tableau, Power BI)

    Hands-on use of industry-standard libraries and BI tools to analyze data and build charts/dashboards.

  5. 5

    Data Sourcing

    Techniques for collecting data from files, databases, APIs, and the web.

  6. 6

    Data Cleaning

    Identifying and fixing missing values, duplicates, and inconsistencies to ensure data quality.

  7. 7

    Data Wrangling

    Reshaping, merging, and preparing raw data into an analysis-ready format.

  8. 8

    SQL & Databases

    Writing queries to extract, join, and manage data stored in relational databases, a critical skill for most analyst roles.

  9. 9

    Excel for Data Analytics

    Leveraging pivot tables, formulas, and dashboards in Excel, still widely used alongside Python in many workplaces.

  10. 10

    Exploratory Data Analysis (EDA) & Statistical Analysis

    Applying statistical methods (correlation, hypothesis testing, regression basics) to uncover patterns and validate insights before visualization.

  11. 11

    Data Visualization

    Turning processed data into clear, compelling charts and visual stories.

  12. 12

    Reporting

    Communicating insights through structured reports and summaries for stakeholders.

  13. 13

    Industrial Projects

    Real-world, hands-on projects simulating actual workplace analytics tasks.

  14. 14

    Internship

    Practical placement to apply skills in a real organizational setting.

What you need to join
  • Minimum of a GCE Advanced Level (or equivalent) in any field; a background in Mathematics, Economics, Sciences, or Computer Science is an advantage but not mandatory
  • Holders of a Bachelor's degree, HND, or other post-secondary qualification are also an advantage
  • Basic computer literacy (comfortable using a computer, internet, and common applications)
  • Applicants must be at least 16 years old
  • No prior programming experience required — the program starts from fundamentals
  • Strong interest in numbers, logic, and problem-solving
  • Willingness to commit to a hands-on, practical, project-based learning style
  • Access to a personal laptop (recommended for practice outside class hours)
  • Ability to attend the full 3-month intensive training schedule
  • Readiness to complete industrial projects and the internship component
  • Completed registration form
  • Valid ID (National ID card, passport, or student ID)
  • Payment of program fee (120,000 FCFA) or applicable deposit
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