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Complete Data Analyst Bootcamp From Basics To Advanced (Udemy.com)

Master Data Analysis: Python, Stats, Gen AI, EDA, AWS, SQL ,Excel, Power BI, Tableau,ETL,Snowflake & Feature Engineering

Created by: Krish Naik

Last updated January 2026

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What you will learn

  • Learn how to efficiently manipulate, analyze, and visualize data using Python and its powerful libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
  • Develop the skills to retrieve, manipulate, and aggregate data using SQL. You'll work with SQL Server to manage complex databases and execute advanced queries.
  • Discover how to perform EDA to uncover insights, identify patterns, and prepare data for further analysis through effective data visualization
  • Learn to build interactive and insightful dashboards using Power BI, applying DAX for complex calculations, and integrating real-world data to produce reports

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Course Description

Are you ready to embark on a rewarding career as a Data Analyst? Whether you're a beginner or an experienced professional looking to enhance your skills, this Complete Data Analyst Bootcamp is your one-stop solution. This course is meticulously designed to equip you with all the essential tools and techniques needed to excel in the field of data analysis.

What You Will Learn:

  1. Python Programming for Data Analysis
    Dive into Python, the most popular programming language in data science. You'll learn the basics, including data types, control structures, and how to manipulate data with powerful libraries like Pandas and NumPy. By the end of this module, you'll be able to perform complex data manipulations and basic analyses with ease.

  2. Statistics for Data Science
    Understanding the language of data requires a solid foundation in statistics. This course will take you through the key concepts such as descriptive statistics, probability, hypothesis testing, and inferential statistics. You'll gain the confidence to make data-driven decisions and interpret statistical results accurately.

  3. Feature Engineering and Data Preprocessing
    Data preparation is critical for successful analysis. This module covers all aspects of feature engineering, from handling missing data and encoding categorical variables to feature scaling and selection. Learn how to transform raw data into meaningful features that improve model performance and analysis outcomes.

  4. Exploratory Data Analysis (EDA)
    Before diving into data modeling, it's crucial to understand your data. EDA is the process of analyzing data sets to summarize their main characteristics, often with visual methods. You'll learn how to identify trends, patterns, and outliers using visualization tools like Matplotlib and Seaborn. This step is essential for uncovering insights and ensuring data quality.

  5. SQL for Data Analysts
    SQL (Structured Query Language) is the backbone of database management and a must-have skill for any data analyst. This course will guide you from the basics of SQL to advanced querying techniques. You’ll learn how to retrieve, manipulate, and aggregate data efficiently using SQL Server, enabling you to work with large datasets and perform sophisticated data analysis.

  6. Power BI for Data Visualization and Reporting
    Data visualization is key to communicating your findings effectively. In this module, you'll master Power BI, a leading business intelligence tool. You'll learn how to create compelling dashboards, perform data transformations, and use DAX (Data Analysis Expressions) for complex calculations. The course also includes real-world reporting projects, allowing you to apply your skills and create professional-grade reports.

  7. Real-World Capstone Projects
    Put your knowledge to the test with hands-on capstone projects. You'll work on real-world datasets to perform end-to-end data analysis, from data cleaning and EDA to creating insightful visualizations and reports in Power BI. These projects are designed to simulate actual industry challenges, giving you practical experience that you can showcase in your portfolio.

Who Should Enroll:

  • Aspiring data analysts looking to build a comprehensive skill set from scratch.

  • Professionals seeking to switch careers into data analysis.

  • Data enthusiasts who want to gain hands-on experience with Python, SQL, and Power BI.

  • Students and recent graduates aiming to enhance their job prospects in the data science industry.

Why This Course?

  • Comprehensive Curriculum: Covers everything from Python programming and statistics to SQL and Power BI, making you job-ready.

  • Hands-On Learning: Work on real-world projects that mirror the challenges you'll face in the industry.

  • Industry-Relevant Tools: Learn the most in-demand tools and technologies, including Python, SQL Server, and Power BI.

  • Career Support: Gain access to valuable resources and guidance to help you kickstart or advance your career as a data analyst.

Conclusion:

By the end of this course, you'll have a strong foundation in data analysis and the confidence to tackle real-world data problems. You'll be ready to step into a data analyst role with a robust portfolio of projects to showcase your skills.

Enroll now and start your journey to becoming a proficient Data Analyst!

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Instructor Details

Krish Naik

I am the Ex Co-founder and Chief AI Engineer of iNeuron and my experience is pioneering in machine learning, deep learning, and computer vision,Generative AI,an educator, and a mentor, with over 15 years' experience in the industry. These are my Udemy Courses where I explain various topics on machine learning, deep learning, and AI with many real-world problem scenarios. I have delivered over 30+ tech talks on data science, machine learning, and AI at various meet-ups, technical institutions, and community-arranged forums. My main aim is to make everyone familiar of ML and AI.

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Reviews

4.5

22,171 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Banda Sravani on 9/4/2026

So while learning basic parts of the python, teacher has skipped iterators,generators,and decorators topic including class and objects as i was checking in all the videos by chance did i miss any video or not,but i watched all the videos i didnt miss anything. pls kindly don't miss any topics as we paid for this course and overall is good.

By Priyansh Goyal on 8/8/2026

the course was very good one of the best structured course for Data Analytics but i have only one problem that the 2nd teacher has teached us properly but they have not given that kind of active learning i mean spoon feeding kari haii which is to be honest was difficult to retain anything kyunki khud se kuch karne hee nahii diya sab unhone khud kiya humne sirf unke steps follow kiye

By Deepak Yadav on 7/6/2026

I recently completed the Data Analyst Bootcamp, and it was a highly valuable learning experience. The training was well-structured, covering essential topics such as Excel, SQL, Power BI, Python, and Data Visualization in a clear and practical manner. The instructors were knowledgeable, supportive, and explained concepts with real-world examples, which made learning easier and more engaging. The hands-on projects and assignments helped me apply my knowledge and improve my analytical and problem-solving skills. I particularly appreciated the interactive sessions and the opportunity to work on practical datasets. The bootcamp enhanced my confidence in analyzing data, creating dashboards, and generating meaningful business insights. Overall, I am very satisfied with the training and would recommend this bootcamp to anyone looking to build or strengthen their data analytics skills. Thank you to the trainers and the entire team for providing such a great learning experience.

By Prajakta Bilolikar on 6/17/2026

I am an Instrumentation engineer. I want switch my career to IT field. I took this course from UDEMY. The course covers all the skills from EXCEL to Prompt Engineering and Gen AI required for data analyst career. Every skill is explained in detailed manner with lots of practical examples. Each section is breakdown into small videos which makes learning easy. All required resources are provided with the videos. Projects are included considering various data sources and it's integration with Power BI, this in turn makes you comfortable with different cloud environments. However including projects using python would help to gain confidence with python script. Also a small section can be included to give ideas about how these projects can be presented or posted on job portal profiles and in the resumes. Thank you Krish Naik and Jayant Topnani.

By Raghav Raghav on 6/9/2026

In the SQL segment, one suggestion from my side would be to teach Constraints and ALTER TABLE as two separate concepts rather than covering them together. This would make it easier to understand both topics individually and follow the concepts more clearly.

By Rohan kumar on 4/10/2026

It would be better for me when I had already done before 2025. Now, this Generation is of Artificial intelligence, I have ever seen till this is better course I appreciate your guidance and hard work.

By Sobhy Mohamed Elwakeil on 4/1/2026

My personal experience taking this course was very positive. I learned many useful skills and gained a better understanding of the subject. The course was well organized, and the instructor explained the topics clearly. It also helped me become more confident in applying what I learned in real situations. Overall, it was a valuable experience for me.

By Abhishek Singh Janawa on 3/2/2026

i just started the course and the intro video is itself amazing,clear explanation without any hurryness and clear roadmap and just very amazing and you should give this course a try if you really willing to learn data analyst or other softaware

By Prajwal Anand on 2/19/2026

I learnt a lot from this course. From starting off with python basics to more analytical based python using numpy, matplotlib, seaborn and pandas, i slowly built the confidence to work in python. The SQL, PowerBI, Tableau and Snowflake sessions was outstanding covering key topics and reinforcing my understanding through many projects. Highly recommend this course to anyone looking to get started in Data Analytics.

By Prasad Achari on 2/6/2026

I’m writing to share some feedback regarding the course completion certificates on Udemy. While I really appreciate the learning experience and course content, I noticed that the current certificate design quality looks quite basic and low-resolution. Since many learners use these certificates for LinkedIn profiles, resumes, and professional sharing, a more modern, high-quality design (better layout, sharper resolution, and professional theme) would add much more value and credibility.

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Overall Score : 90 / 100