Udemy – Data Analysis A-Z: Become Data Analyst in 30 Days 2023-10

Data Analysis AZ: Become a Data Analyst in 30 Days. This course is a comprehensive, intensive program that teaches the essential skills to become a data analyst in 30 days. The first week focuses on data analysis with Excel, including cleaning raw data, performing descriptive and inferential statistics, and creating dynamic dashboards with PivotTables and charts. Days 9 through 17 cover Python basics, including data types, variables, loops, and conditional structures. Week 3 covers working with data structures such as lists and dictionaries. The final week covers data analysis with Python and the pandas and numpy libraries, including data manipulation, exploratory analysis, and statistical methods such as correlation and regression. The course is packed with hands-on exercises and real-world projects so participants can apply their skills to real-world situations and become a skilled data analyst.

What you will learn:

• Understand basic Python syntax, data types, variables, and operators, which enables you to write simple programs and perform basic operations.
• Learn to use control structures such as loops and conditional statements such as if, elif, and else to effectively manage program flow.
• Gain skills in working with basic data structures in Python, such as lists, dictionaries, tuples, and sets.
• Learn how to manipulate, access, and modify these structures for different programming needs.
• Professional and realistic use of metrics such as counts, percentages, group by, pivot tables, correlation, and regression.
• Solve over 20 data analysis questions to practice using data analysis in different situations.
• Emphasis on practical application to gain valuable insights from data and make informed judgments and recommendations.
• Proficiency in Python for data analysis using industry standard libraries and tools: pandas, numpy, scipy, scikit-learn, etc.
• Mastery of statistical inference (e.g., ANOVA, correlation, regression), extracting meaningful findings, and making data-driven decisions.
• Understand and use techniques for cleaning and preparing raw data in Excel. Learn how to identify and manage missing data, outliers, and inconsistencies.
• Use Excel functions and tools to validate and transform data. Explore basic statistical concepts and their application in Excel.
• Learn how to perform descriptive statistics, inferential statistics, and hypothesis testing using Excel functions and tools.
• Learn how to use PivotTables, PivotCharts, and Slicers to create dynamic, user-friendly dashboards.
• Explore the various data visualization techniques available in Excel, including charts and graphs.
• Design and build interactive dashboards in Excel for effective data visualization.

Who is this course suitable for?

• People looking to start their career in data analysis.
• Students and recent graduates in data analytics or related fields.
• Professionals who want to improve their analytical skills.
• Decision makers who want to understand and use data analytics.

Course Details Data Analysis AZ: Become Data Analyst in 30 Days

• Publisher:  Udemy
• Instructor:  Analytix AI
• Training level: Beginner to advanced
• Training duration: 4 hours and 20 minutes
• Number of lessons: 38

Course syllabus for 2025/2

Prerequisites for the Data Analysis AZ: Become Data Analyst in 30 Days course

• No coding experience is needed.
• Microsoft Excel
• Mindset to be Successful.
• Dedication to be Data Analyst.
• Intention to Learn Python.

Course images

Sample course video

Download link

Download Part 1 – 1 GB

Download Part 2 – 507 MB

File(s) password: www.downloadly.ir

File size

1.5 GB