Udemy – Data Science for Beginners – Python, Azure ML and Tableau 2024-11

Udemy – Data Science for Beginners – Python, Azure ML and Tableau 2024-11 Downloadly IRSpace

Apr 18, 2025 - 17:59 Updated: Apr 21, 2025 - 17:43

0 0

Udemy – Data Science for Beginners – Python, Azure ML and Tableau 2024-11

Data Science for Beginners – Python Azure ML and Tableau is a hands-on course that introduces the essential skills for working in data science. Designed for beginners, this course covers Python programming, data analysis, statistics, machine learning, and cloud computing with Azure. Each topic is taught through practical examples, real-world datasets, and step-by-step guidance, making it accessible and engaging for anyone starting out in data science.

What you will learn in the Data Science for Beginners – Python Azure ML and Tableau course

Python Programming Fundamentals: Start with Python basics, which covers fundamental programming concepts like variables, data types, functions, and control flow. Python is a versatile language widely used in data science, and mastering these basics will help you perform data analysis and build machine learning models with confidence.
Data Cleansing and Analysis with Pandas: Get started by manipulating and cleaning data using Pandas, a powerful data science library. You’ll learn techniques for importing, inspecting, and transforming data that allow you to effectively analyze and prepare data for modeling.
Statistics for Data Science: Build your knowledge of key statistical concepts used in data science. Topics include measures of central tendency (mean, median, mode), measures of dispersion (standard deviation, variance), and hypothesis testing. These concepts will help you understand and interpret insights from your data.
Data visualization: Gain hands-on experience creating data visualizations with Matplotlib and Seaborn. You’ll learn to create line, scatter, bar, heat, and more charts so you can clearly and effectively convey data insights.
Interactively visualize data with Tableau
Connect to data sources and prepare data for visualization.
Create charts such as bar charts, histograms, and doughnut charts.
Create calculated fields to segment and analyze data, such as customer churn rates, subscription duration, age groups, and inventory ranges.
Develop a banking customer exit dashboard that integrates multiple visualizations and filters to gain actionable insights.
Publish your Tableau dashboards and share them with stakeholders.
And…

This course is suitable for people who:

This course is perfect for beginners who are curious about data science and want a hands-on introduction to this exciting field. It’s ideal for students, career changers, and professionals from non-technical backgrounds looking to build a solid foundation in data science skills, including Python programming, data analytics, statistics, machine learning, and cloud computing.