Udemy – Data Analytics Career Path: 72 Days of Data Analyst Bootcamp 2025-2

Data Analytics Career Path: 60 Days of Data Analyst Bootcamp, Embark on a transformative 60-day journey into the world of data analytics, where you’ll learn the essential skills and tools to become a successful data analyst. This comprehensive course is designed to take you from a beginner to a proficient data analyst, equipping you with the knowledge and practical experience needed to excel in the field. The course curriculum is structured to cover three core pillars of data analysis: Excel, SQL, and Python. You’ll start by mastering Excel, the industry-standard spreadsheet software, learning how to manipulate data, perform calculations, and create visualizations to communicate insights effectively. Engage in practical data analysis projects and coding exercises, honing your problem-solving skills through immersive learning experiences.

With a focus on hands-on learning, you’ll work on real-world projects and case studies, applying your newfound skills to solve practical challenges faced by data analysts in various industries. Gain insights into data analysis theories, statistical methods, hypothesis testing, and machine learning fundamentals, laying a solid groundwork for your career. Learn A-Z data cleaning and manipulation techniques, including sorting, filtering, conditional formatting, and advanced analysis with pivot tables and charts. Acquire a deep understanding of relational database management systems (RDBMS), covering key concepts such as primary keys, foreign keys, and SQL manipulation.

What you’ll learn

• You will gain proficiency in Excel, SQL, and Python for data analysis. Prepare for a career as a data analyst with essential professional skills and knowledge.
• You will work on practical data analysis projects to apply learned skills. Enhance problem-solving abilities through hands-on data analysis exercises.
• You will learn facts and theories for data analysis, statistical analysis, hypothesis testing, and machine learning for foundations of data analytics.
• You will learn A-Z data cleaning and manipulation methods, sorting, sorting and conditional filtering, formulas, and functions, graphs and charts in Excel.
• You will learn advanced analysis in PIVOT tables and charts, Data Analysis ToolPak for statistical analysis and interactive dashboard in Excel.
• You will learn RDBMS fundamentals, covering key concepts such as primary and foreign keys, data types, and the various types of RDBMS and more.
• You will learn full stack manipulation of tables, columns, constraints, indices, null values, filtering, joining methods in MySQL or structured query language.
• You will learn the important Python programming basics such as variables naming, data types, lists, dictionaries, dataframes, sets, loops, functions etc.

Who this course is for

• Those who are interested in entering the field of data analytics and want to learn the complete tools and techniques used in the industry.
• Those who are highly interested in learning complete data analytics using Excel, SQL and Python.
• This course is NOT for those who are interested to learn data science or advanced machine learning application.

Specificatoin of Data Analytics Career Path: 60 Days of Data Analyst Bootcamp

• Publisher : Udemy
• Teacher : Shahriar’s Sight Academy
• Language : English
• Level : All Levels
• Number of Course : 359
• Duration : 34 hours and 26 minutes

Content of Data Analytics Career Path: 60 Days of Data Analyst Bootcamp

Requirements

• Access to computer and internet
• Basic computer literacy
• No coding experience required
• Dedication, patience and perseverance

Pictures

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 720p

The 2025/2 version has increased the number of lessons by 66 and the duration by 7 hours and 12 minutes compared to 2024/4. The course quality has also been reduced from 1080p to 720p and subtitles have been added.

Download Links

Download Part 1 – 3 GB

Download Part 2 – 3 GB

Download Part 3 – 3 GB

Download Part 4 – 2.44 GB

File size

11.4 GB