Deep Data Dive (Data Science and Machine Learning)

Master the power of DATA! In this beginner-friendly, project-driven course, you’ll master Python for data analysis, R, SQL, and cutting-edge machine learning ...

0

... English
... Certificate Course
... 1 Students
... 14h 12m

Course Overview

Unlock the career defining skill set that today’s employers crave without the intimidation factor. “Data Science & Machine Learning” is an eight-week, beginner friendly journey that starts with the building blocks of Python, R, SQL, and Git, then guides you step by step to advanced machine learning techniques and real-world deployment. Each week layers practical skills onto the last: from spotless data wrangling and eye-catching visualizations to statistics that separate signal from noise and models that predict the future with confidence.

But this course is more than a syllabus; it’s an immersive, project driven experience. You’ll clean messy datasets, craft interactive dashboards, and train algorithms on problems drawn straight from industry. Weekly recorded labs accelerate your learning, while a mentor-guided capstone lets you showcase end-to-end mastery, ready for your portfolio and recruiters’ inboxes.


By the final presentation in Week 8, you won’t just know data science; you’ll have proven it, with deployable code, compelling insights, and the confidence to speak the language of data at any interview or boardroom. Join us and convert curiosity into career changing capability.

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FAQ

Course curriculum

Requirment

  • Laptop, Stable Internet, Zoom/Google Meet

Outcomes

  • Understand the full data science workflow and career roles

  • Write and debug code in Python and R

  • Clean and transform data using Pandas and Tidyverse

  • Perform data analysis

  • Visualize data using Matplotlib, Seaborn, and ggplot2

  • Communicate insights with clear visuals and storytelling

  • Apply statistics: descriptive, inferential, and hypothesis testing

  • Build and evaluate basic machine learning models

  • Complete and present a real-world data science capstone project

  • Create a GitHub portfolio to showcase your skills

Instructor

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Sandra Oyebode

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  • ... 1 Student
  • ... 1 Course
  • ... 0 Review

Senior Data Engineer (Health Systems) | Software Engineer | ETL & Data Warehouse Specialist

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  • ...

    Students

    1
  • ...

    language

    English
  • ...

    Duration

    14h 12m
  • Level

    beginner
  • ...

    Expiry period

    6 Months
  • ...

    Certificate

    Yes
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