Python Essentials for Data Science: 1 Day Session in Perth
Description
About This Course
Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, snacks, and beverages will be provided
If you would like weekend training sessions, kindly reach out to us at info@mangates.com for availability and scheduling.
Course Overview
The Python for Data Science course provides the essential skills to analyze, visualize, and interpret data using Python. You’ll learn to use popular libraries like Pandas, NumPy, Matplotlib, and Seaborn to explore datasets and uncover insights. Designed for aspiring data scientists and analysts, this course bridges core programming with data-driven decision-making — empowering you to start your journey in the world of data science.
Learning Objectives
By the end of this course, you will:
Use Python libraries to load, explore, and manipulate data
Apply data cleaning techniques to prepare data for analysis
Create visualizations to convey patterns and insights
Understand the basics of machine learning workflows
Perform data-driven decision-making with confidence
Start your journey toward becoming a skilled data analyst or scientist
Target Audience
Aspiring data scientists, analysts, developers, and students.
Why is it the Right Fit for You?
This course is designed for anyone ready to explore the world of data science using Python, regardless of prior experience. With expert guidance and real-world datasets, you’ll learn to make sense of data and present your findings visually. Our hands-on approach ensures you don’t just learn theory, but also apply it through practical exercises. Plus, Python is the most popular language in data science — learning it unlocks opportunities in AI, analytics, automation, and more.
©2026 Mangates Tech Solutions Pvt Ltd. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.
Want to build a data-driven culture within your team?
We offer customizable in-house Python for Data Science training tailored to your organization's goals and data challenges. Looking to upskill your workforce in data handling and analysis? Let us design a program that fits your needs.
📧 Contact us today to schedule a customized in-house session: corporate@mangates.com
Agenda
Module 1: Introduction to Python for Data Science
• Why Python is essential for data science • Setting up Jupyter Notebook or VS Code • Overview of data science workflow • Activity
Module 2: Working with Data using Pandas
• Introduction to DataFrames and Series • Reading and writing CSV, Excel files • Data exploration and basic stats • Activity
Module 3: Numerical Computing with NumPy
• Understanding arrays and vectorized operations • Array creation, indexing, reshaping • Using NumPy for basic calculations • Case Study
Module 4: Data Cleaning Essentials
• Handling missing data and duplicates • Data type conversions and string operations • Filtering, sorting, and transforming data • Activity
Module 5: Data Visualization with Matplotlib
• Plotting line, bar, scatter, histogram charts • Customizing styles and labels • Creating multiple plots in a figure • Activity
Module 6: Advanced Visualization with Seaborn
• Heatmaps, pair plots, categorical plots • Using themes and palettes • Visualizing data distributions • Activity
Module 7: Introduction to Machine Learning Concepts
• What is machine learning? • Basics of supervised vs unsupervised learning • Using scikit-learn for simple models • Case Study
Module 8: Mini Data Project
• Choose a dataset and perform analysis • Clean, analyze, visualize, and present findings • Share insights and interpretations • Activity
FAQs
- Do I need to know Python before attending?
It’s helpful but not required — basic concepts will be introduced. - Do I need any specific software installed?
Yes, instructions to set up Python and Jupyter will be shared. - Will we work with real datasets?
Yes, you’ll explore and visualize real-world data during the course. - Does this course cover machine learning in depth?
No, only an introduction is covered, but it sets a foundation for further learning. - Is this course suitable for career changers?
Absolutely, it's ideal for those moving into data or tech roles. - Do I need a strong math background?
Basic understanding is useful, but not mandatory for this beginner-level course. - Will I receive support after the course?
Yes, you can reach out with post-session questions for support. - Is there a certificate provided?
Yes, you'll receive a course completion certificate. - Can this be tailored for corporate training?
Yes, we offer fully customized sessions based on your team’s needs.
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