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Python Data Science Masterclass for Practical Insights

Master Python for data science, including data manipulation, analysis, and visualization. Learn libraries like Pandas, NumPy, and Matplotlib, apply statistical methods, and build predictive models for real-world data-driven decision-making.

Online

26 Feb 2027

Linda Anderson

Instructor

0.8% Capacity Reached

What Will You Learn?

Python programming fundamentals

Data manipulation with pandas

Data visualization techniques

Machine learning algorithms

About This Event

The Python Data Science Masterclass provides a structured path from data wrangling to deploying machine learning models in production. Through realistic datasets you will master pandas, NumPy, visualization, feature engineering, and statistical reasoning that underpin reliable models. The course introduces supervised and unsupervised methods, model evaluation, and modern tooling such as scikit-learn and TensorFlow/PyTorch, with an emphasis on reproducibility and experiment tracking. Practical modules cover model deployment, monitoring, and interpretability so your solutions deliver business impact. A final capstone demonstrates an end-to-end data science workflow suitable for inclusion in a professional portfolio.

Pricing Plans

VIP Data Science Masterclass

Advanced data science with real-world projects

Includes: Premium Datasets

GPU Access

1-on-1 Support

12 Seats Available

18 Reward Points

$195

Standard Data Science Pass

Complete Python data science training

Includes: All Projects

ML Models

Certificate

20 Seats Available

12 Reward Points

$145

Basic Data Science Access

Essential data science fundamentals

Includes: Core Concepts

Basic Certificate

24 Seats Available

8 Reward Points

$95

Speakers

Dr. Emily Davis

PhD in Statistics, expert in machine learning and data ...

Robert Martinez

ML engineer specializing in predictive modeling and data ...

Lisa Zhang

Senior data analyst with expertise in Python data science ...

Requirements

Basic mathematics knowledge

Computer with Python installed

Jupyter Notebook experience helpful

Trusted Companies

+3200 Companies trusted our events for their staff tutoring

FAQ

Check frequently asked questions about this event

What Python libraries will we learn?

You will master essential libraries including NumPy, pandas, Matplotlib, scikit-learn, and TensorFlow, with hands-on projects using real datasets.

Is this course suitable for complete beginners?

While we recommend basic Python knowledge, we include Python fundamentals for those new to programming. The focus is on data science applications rather than pure programming.

Will I learn to build machine learning models?

Yes, you will learn both supervised and unsupervised machine learning algorithms, model evaluation techniques, and how to deploy models in production environments.

Linda Anderson

(2)

4 Courses

1 Students

I am a programmer with over 12 years' experience gained in a range of industries, the last 16 with IBM. I am now self employed developing apps for Android; programming in a range of languages including Java, Javascript and Python; and helping the next generation of programmers gain the skills that I have acquired over the years. The first program I sold controlled stock movement in a warehouse, and ran on a CP/M computer - both the program and operating system lived in the 64 kb (yes, kilobytes) that was all CP/M systems had in those days. I have gained experience in a wide range of industries including Utilities, Retail, Insurance and the Motor Manufacturing industry. My clients and employers have ...