Data Science with Python Course


Data Science with Python Course

  • Learn Python, analyze and visualize data with Pandas, Matplotlib and Scikit
  • Create robust predictive models with advanced statistics
  • Leverage hypothesis testing and inferential statistics for sound decision-making

  • Learn from anywhere in the world. Connect with an Instructor in real time.
  • Attend Live Class from a PC or Mobile.
  • Ask questions from an Instructor in real time over voice & chat.
  • Includes Certificate of Completion.
  • Official Exam & Certification Assitance.
  • Get 30 Days free after class support.

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Course Description

About the Course

This four-week course is ideal for learning Data Science with Python even for beginners. Get hands-on programming experience in Python that you'll be able to immediately apply in the real world. Equip yourself with the skills you need to work with large data sets, build predictive models and tell a compelling story to stakeholders.

You'll learn the end-to-end data science process, covering everything you need to know to derive value from complex data. By the end of the course, you will be able to communicate data insights effectively through data visualizations. For your capstone, you’ll put machine-learning models into production to address a real-world data challenge. Master concepts of Python with Data Science applications.

Course Curriculum

Course # : DSP-0035
Exam : Data Science with Python Course

Data Science with Python Course


  • Gain a solid understanding of Python programming fundamentals, including data types, control structures, functions, and object-oriented programming.
  • Learn how to manipulate, clean, and preprocess data using Python libraries such as NumPy and Pandas, enabling you to prepare data for analysis effectively.
  • Develop proficiency in data visualization using libraries like Matplotlib and Seaborn, allowing you to create insightful charts, graphs, and plots to communicate data effectively.
  • Master essential statistical concepts and techniques, including probability, hypothesis testing, and regression analysis, to analyze and draw insights from data.
  • Acquire knowledge of machine learning algorithms and techniques, such as classification, regression, clustering, and dimensionality reduction, enabling you to build predictive models.
  • Learn how to evaluate and validate machine learning models using techniques like cross-validation, performance metrics, and model selection to ensure robust and accurate predictions.
  • Understand the concepts of deep learning and neural networks, exploring popular libraries like TensorFlow or PyTorch to build and train deep learning models.
  • Gain hands-on experience with real-world data science projects, allowing you to apply your Python skills and knowledge to solve practical problems and extract valuable insights.

Target Audience

  • Professionals in the field of data science
  • Professionals looking for a robust, structured Python learning program
  • Professionals working with large datasets
  • Software or data engineers interested in quantitative analysis
  • Data analysts, economists, researchers


  • There are no prerequisites to attend the Data Science with Python course.
  • Elementary programming knowledge will be of advantage.

Why Data Science with Python Course from SkillCertified™

  • Live Interactive Learning
    • World-Class Instructors
    • Expert-Led Mentoring Sessions
    • Instant doubt clearing
  • Lifetime Access
    • Course Access Never Expires
    • Free Access to Future Updates
    • Unlimited Access to Course Content
  • 24x7 Support
    • One-On-One Learning Assistance
    • Help Desk Support
    • Resolve Doubts in Real-time
  • Hands-On Project Based Learning
    • Industry-Relevant Projects
    • Course Demo Dataset & Files
    • Quizzes & Assignments
  • Industry Recognised Certification
    • SkillCertified Training Certificate
    • Graded Performance Certificate
    • Certificate of Completion
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