Data Analysis by Excel, SQL, Python and Power BI
Become a Data Analyst or Business Analyst using Data Mining, Data Wrangling, and Data Cleaning. Master course all in one
Data Analysis by Excel, SQL, Python and Power BI free download
Become a Data Analyst or Business Analyst using Data Mining, Data Wrangling, and Data Cleaning. Master course all in one
Data analytics has been one of the fastest-growing fields in the last five years. The use of major tools like Excel, SQL, and Python has elevated its importance, as these tools allow analysts to accurately and professionally uncover the story behind the data.
This course is structured to provide a step-by-step guide to you, starting from the basics of each tool and gradually building up to more advanced concepts. Through hands-on exercises and real-world examples, you will learn how to manipulate data, perform statistical analyses, and create compelling visualizations and dashboards.
In this course, we will cover :
In Excel Section:
Excel functions for data analysis.
Excel fundamental concepts such as Sorting, Filtering, Statistical, and text functions.
Create PivotTable slicers for interactive filtering.
Analyze time-based data with slicers.
Refresh and update data connections.
Combine data from multiple sources.
Perform data analysis on external datasets.
Construct various chart types (bar, line, pie, etc.).
Customize chart elements (titles, axes, data labels).
In SQL Section:
Working with SQL Queries to retrieve data from databases for Analysis.
Understand the concept of Sub-Queries or Inner Queries. Joining tables and combining data from multiple sources.
SQL- DDL, DML, and DQL commands.
Performing data manipulation.
Learn how to apply different conditions to datasets.
Understand the concept of Sub-Queries or Inner Queries.
Discovering these concepts with a Case Study.
In Python Section:
Python's fundamental concepts include Object-oriented programming.
Work with Jupyter Notebooks.
Introduction to the NumPy and the Pandas Library.
Data Cleaning and Handling Missing Values.
Descriptive Statistics.
Correlation Analysis.
Learn about Data Story Telling with Matplotlib and Seaborn.
Hands-on Projects.
In Power BI Section:
Understand the Power BI ecosystem
Install and set up Power BI Desktop
Navigate the Power BI interface
Transforming and cleaning data
Data modeling basics
Creating simple visualizations (tables, charts)
Using filters and slicers
Creating interactive reports and dashboards
Combining multiple data sources
Hands-on projects and real-world applications
So,
You will get to practice the exercises and work on some exciting projects.
Enroll now and make the best use of this course.
