Data Analysis and Visualize by Excel, SQL, Python, & PowerBI

What you'll learn:

Data Analysis & Visualization: Python | Excel | BI | Tableau

Requirements:

• Computer with internet access required.

Description:

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.

There are 4 sections involved in this course. The learning objectives and contents are given below,

Data Analysis with Excel.

In this course, I cover Excel in detail, with a focus on its applications in data analysis. You will learn how to use Excel to manipulate and analyze data, as well as how to use its powerful features to save time and improve efficiency.

The course is designed to make learning Excel easy and accessible, with clear explanations and plenty of examples and practice exercises. By the end of the course, you will have a solid understanding of Excel and its powerful features for data analysis, and will be able to use them to solve real-world business problems. The main topic which have covered in this section are,

■ Introduction to Excel.

■ Learn about types the Data Connection.

■ Applying Formatting on Datasets.

■ Performing data manipulation.

■ How we perform Data Cleaning task.

■ What are the methods for Descriptive Analysis.

■ Learn about the Charts and Graphs for Data Visualization.

■ Discovering these concepts with Case Study.

Data Analysis with SQL Server

SQL (Structured Query Language) is a programming language used for managing and manipulating relational databases. It is widely used in data analytics because of its ability to efficiently retrieve and manipulate large amounts of data. This course covers all the commands and functions of SQL, from basic SELECT statements to more advanced topics such as subqueries, joins, and aggregate functions. Students will also learn how to use SQL with Python and other data analysis tools. SQL is an essential tool for data analysts and data scientists who need to extract insights and information from databases.  The main topics which have covered in this section are,

■ Introduction to SQL and relational databases.

■ Working with SQL Queries to retrieve data from databases for Analysis.

■ Joining tables and combining data from multiple sources.

■ Performing data manipulation.

■ Learn how to apply different condition to datasets.

■ Understand the concept of Sub-Queries or Inner Queries.

■ Discovering these concepts with Case Study.

Data Analysis with Python.

Furthermore, Data Analysis covers Python in detail, with a particular focus on its applications in data analytics. You will learn how to use Python and its various packages for data manipulation, analysis, and visualization.

The course is designed to make learning Python for data analytics accessible and enjoyable. Each topic is presented in a clear and easy-to-understand manner, with plenty of examples and practice exercises to reinforce learning. By the end of the course, you will have a solid understanding of Python and its packages for data analytics, and will be able to use them to analyze and visualize data in a variety of contexts. For example, the Pandas package provides powerful data structures for working with structured data, while NumPy provides efficient support for numerical operations. Additionally, Matplotlib and Seaborn packages are used for data visualization and creating visually appealing plots and charts. The main topics which have covered in this section are,

■ Introduction to Python.

■ Learn about the Basic of Python.

■ Working with specific modules like PANDAS and NumPy for Data Analysis.

■ Working on Analytical Method approach which lead to be a better Data Analyst.

■ Learn about Data Story Telling with Matplotlib and Seaborn.

■ Performing data manipulation with Python Function, Methods and Logics.

■ Learn how to apply different condition to Datasets.

■ Discover the concept of Data Wrangling.

■ Discovering these concepts with Case Study.

Data Analysis with Power BI.

In the course, you will learn how to use Power BI to connect to various data sources, including databases, spreadsheets, and cloud-based data services. They will also learn how to transform and clean data using Power Query, a powerful data transformation tool built into Power BI.

You will also learn how to create a range of powerful visualizations using Power BI's extensive library of charts, graphs, and tables. You will learn how to customize these visualizations to suit your specific needs, and how to create interactive dashboards that allow users to explore and analyze data in real-time.

■ Introduction to Power BI.

■ Learn how to do ETL on BI environment.

■ Joining tables and combining data from multiple sources.

■ Performing Data Cleaning on Power Query Editor.

■ Creating Relationship between model.

■ Discover the details of Visualization( Eye Catching Graphs and Charts).

■ Formatting of Visuals through numerous style.

■ Develop Dashboards and Reports.

Who this course is for:

• This course is particularly for those people who want to learn Data related things a student, a teacher, and Corporate sector people included.
• Data curious guy who wanted to learn how to gather hidden information by using Excel, SQL, Python, and Power BI.
• Students looking for a comprehensive, engaging, and highly interactive approach to learning Data Analysis.
• A person who wants to improve the system and change the manual routine works into automatic work.
• A Doctor, Teacher, Engineer, or even anyone who belongs to any particular domain can learn about Data Engineering.
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Course Details:

• 13 hours on-demand video
• 8 articles
• 6 downloadable resources
• Access on mobile and TV
• Full lifetime access
• Certificate of completion

Data Analysis and Visualize by Excel, SQL, Python, & PowerBI udemy free download

Become a Data Analyst, SQL Expert, or Business Analyst by analyzing the concept of Data Mining, Wrangling, and Cleaning.