DATA SCIENCE WITH PYTHON

Unlocking Insights from Complex Data

Course Outline

Upon completion of this course, you will:

  • Develop practical analytical skills to gain insights from complex data
  • Master data exploration, visualization, and transformation techniques
  • Implement machine learning models using Python
  • Utilize various Python packages for data manipulation and statistical analysis
  • Apply data science processes and methods to real-world problems
  • Contribute to a data-driven culture within organizations
  • Understand the requirements for data scientists to make a business impact
  • Debug and optimize frontend code for performance
  • Be proficient in core data science programming tools and application.

3 Months (200 Hours)

intermediate

$150 without Certification / $400 with certification

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DATA SCIENCE WITH PYTHON course overview

Overview

Today, the ability to extract meaningful insights from vast amounts of information is crucial. We recognize the role played by data scientists in driving decision-making and innovation across industries. This course covers foundational statistical concepts to advanced machine learning techniques, empowering you to analyze complex datasets and derive valuable insights. With focus on data preprocessing, exploratory data analysis, statistical inference, machine learning, and data visualization, this course provides a highly sought-after data science skill set. With a focus on hands-on, immersive learning using Python, youll gain practical experience and confidence in real-world scenarios.

Ready to embark on a transformative journey into the world of Data Science? Enroll in the Data Science with Python course at INGRYD Academy today and pave your gateway to a elevated career in data analysis and machine learning.

Modules

  • Introduction to Data Science and Python
  • Data Pre-processing and Cleaning
  • Exploratory Data Analysis
  • Statistical Inference and Probability
  • Machine Learning Techniques
  • Advanced Data Visualization
  • Time Series Analysis
  • Natural Language Processing
  • Big Data Processing
  • Data Science Project Lifecycle
  • Ethical Considerations in Data Science

Why you should take this course

Grow your career in DATA SCIENCE WITH PYTHON with our comprehensive course.

Hands-On Experience
Industry-Leading Faculty
Flexible Schedule
Network Opportunities
Module preview

Benefits

  • Analyzing and visualizing real-world datasets
  • Building predictive models for business outcomes
  • Hands-on, practical experience with real-world scenarios and tools
  • Access to a community of peers and mentors in the data science industry
  • Receive vouchers for internationally recognized certifications that give you a competitive edge in the global job market
  • Learn from industry-certified instructors with real-world experience and a passion for helping you succeed
  • Access courses on-site (Lagos & Abuja), virtually, or in a hybrid format that fits your schedule and lifestyle
  • Balance convenience with guidance — learn at your own pace, with live instructor sessions to deepen your understanding.
  • Go beyond theory with practical workshops and real-world projects to build job-ready skills.
  • Track your progress, complete assessments, and explore additional resources — all from a personalized learning dashboard

Who is it for?

  • Individuals seeking to build strong data science skills using Python.
  • Professionals aiming to pivot into data analytics, data science, or machine learning roles.
  • Developers and analysts interested in mastering data visualization and machine learning techniques.
  • Companies wanting to upskill their teams in data-driven decision-making and Python-based data analysis.

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