Data Analysis A-Z: Become Data Analyst in 30 Days
Unlock Data Analysis with Python with ChatGPT and Excel. Master Full Work-flow and Become Pro Data Analyst in 30 Days!
4.25 (184 reviews)
3,802
students
9 hours
content
Feb 2025
last update
$74.99
regular price
What you will learn
Gain understanding of Python's basic syntax, data types, variables, and operators, enabling you to write simple programs and perform basic operations.
Learn to utilize control structures like loops and conditional statements such as use if, elif and else to manage program flow effectively.
Acquire skills in working with fundamental data structures in Python, such as lists, dictionaries, tuples, and sets.
Learn how to manipulate, access, and modify these structures for diverse programming needs.
Employ metrics such as counts, percentages, group by, pivot tables, correlation, and regression professionally and realistically.
Solve more than 20 data analytical questions to practice applying data analysis to various circumstances.
Emphasize practical application to gain valuable insights from data and create educated judgments and suggestions.
Master Python for data analysis using industry-standard libraries and tools: pandas, numpy, scipy, scikit-learn etc.
Master statistical inference (e.g., ANOVA, correlation, regression), draw meaningful findings, and make data-driven decisions.
Understand and apply techniques for cleaning and preparing raw data in Excel. Learn to identify and handle missing data, outliers, and inconsistencies.
Utilize Excel functions and tools for data validation and transformation. Explore fundamental statistical concepts and their application in Excel.
Learn to perform descriptive statistics, inferential statistics, and hypothesis testing using Excel functions and tools.
Learn to use PivotTables, PivotCharts, and slicers to create dynamic and user-friendly dashboards.
Explore various data visualization techniques available in Excel, including charts, graphs.
Design and build interactive dashboards in Excel for effective data visualization.
Screenshots
5618994
udemy ID
10/20/2023
course created date
10/22/2023
course indexed date
Bot
course submited by