Udemy – Data Analytics, Data Science, & Machine Learning

File Name:	Data Analytics, Data Science, & Machine Learning – All in 1
Content Source:	https://www.udemy.com/course/data-analytics-data-science-machine-learning-all-in-1
Genre / Category:	Programming
File Size :	26.2 GB
Publisher:	Analytix AI
Updated and Published:	September 27, 2025

Product Details

Embark on a transformative journey into the world of Data Analytics, Data Science, and Machine Learning, where you’ll learn the essential skills, tools, and mindsets to become a successful data professional. This comprehensive program is designed to take you from beginner to advanced, equipping you with the knowledge and practical experience needed to excel in the field.

Whether you’re looking to kickstart a career in data analytics or enhance your existing skills, this course will empower you to succeed in the dynamic world of data. Join us on this exciting path and unlock your potential in just 60–100 days of disciplined learning.

Why This Course Matters

Most learners struggle with fragmented resources, inconsistent guidance, or theory-heavy content that doesn’t build real competence. This course solves that problem. It’s structured to provide step-by-step, cumulative, and daily progress — helping you turn knowledge into capability, and capability into career readiness.

We are in the AI revolution, and every industry is transforming with tools like ChatGPT, Stable Diffusion, and AI copilots for writing, coding, design, analytics, and more. This course ensures you don’t just learn theory — you’ll build real-world solutions that make you job-ready.

1. Foundations of Data Analytics, Data Science & Python:

Learn how to think like a data scientist, not just how to write code.
Python fundamentals: variables, loops, conditionals, functions, data structures.
Clean, modular, reusable coding practices for data workflows.
Importing and handling real-world datasets with Pandas and NumPy.
Data types, memory optimization, and performance tuning.
A-Z data cleaning and manipulation techniques: sorting, filtering, pivot tables, and charts.

2. Excel, SQL, Python & Power BI Proficiency:

Excel: Manipulate data, perform calculations, and create visualizations.
SQL: Query and manipulate relational databases, perform joins, aggregations, and optimize queries.
Python: Analyze and visualize data with Pandas, NumPy, and Matplotlib. Automate workflows and create advanced dashboards.
ChatGPT for Data Analysis: Handle missing data, outliers, dataset merging, pivoting, and even advanced ML predictions.
Power BI: Connect to multiple data sources, clean and transform data, and design interactive dashboards and reports.

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Udemy – Data Analytics, Data Science, & Machine Learning – All in 1

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