Complete Data Analyst Bootcamp From Basics To Advanced

Master Data Analysis: Python, Statistics, EDA, Feature Engineering, Power BI, and SQL Server,Snowflake,AWS

Created by: Krish Naik
Chief AI Engineer

Created by: Jayant Topnani
Instructor at Udemy

Created by: KRISHAI Technologies Private Limited
Artificial intelligence and machine learning engineer

What Will I 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

Requirements

• A basic understanding of how to navigate your computer, including installing software and managing files, is essential.
• Some experience with spreadsheet software like Microsoft Excel or Google Sheets will be helpful, as it will give you a foundation for data manipulation and basic analysis concepts
• This course starts from the basics of Python, so no prior programming knowledge is necessary. However, a willingness to learn coding is important.
• An eagerness to explore data, solve problems, and develop new skills is key to getting the most out of this bootcamp.

Target audience

• Individuals looking to start a career in data analysis and gain a comprehensive skill set from the ground up.
• Professionals from other fields who want to transition into data analysis and need a structured, all-inclusive learning path.
• Those pursuing degrees in fields like computer science, statistics, business, or related areas who want to enhance their job prospects with practical, industry-relevant skills.
• Anyone with an interest in data, who wants to learn how to analyze, visualize, and make data-driven decisions, whether for professional development or personal projects.
• Individuals already in the data industry or related fields who wish to sharpen their skills, learn new tools like Python, SQL, and Power BI, and take on more advanced data analysis tasks.