Practical Data Analytics & Business Intelligence with: SQL Matplotlib Python Excel Power BI Pandas
What you will learn
Core SQL – the INTO statement for creating new tables and using the CASE statement to compute new columns based on conditions
Intermediate SQL – using window functions such as ROW_NUMBER, RANK, PARTITION, and learning running totals to increase the functionality of datasets
Perform Data Analysis with Microsoft SQL
Intermediate SQL – understanding the importance of subquerying, views, and variables in SQL data analysis as well as the importance of stored procedures
Core SQL – the SQL interface, navigation, importing data for analysis
Why take this course?
π Course Title: Data Analysis – Business Intelligence | Python | Pandas | SQL
Headline: Master Practical Data Analytics & Business Intelligence with: SQL ππ Python π Excel π Power BI π [Enhance Your Career with In-Demand Skills!]
Course Description:
Data is the lifeblood of modern business. It’s no longer a niche skill for analysts; it’s a vital tool for success across all industries. With the right knowledge and tools, anyone can unlock the secrets held within data to make informed decisions and drive growth. This comprehensive course bundle, tailored for intermediate Excel users who are new to Python and Power BI, is your key to mastering practical data analytics and business intelligence.
π Why Choose This Course?
- Accessible Learning: Break down the complexity of data analysis into manageable, easy-to-understand segments with hands-on practice exercises.
- Versatile Skill Set: Gain proficiency in Excel, Python, and Power BIβtools that are highly sought after in the job market.
- Real-World Application: Learn by doing, applying your new skills to real-world scenarios and datasets.
Course Breakdown:
SQL ποΈ
SQL is the backbone of data manipulation and retrieval in databases. It’s a critical skill for any data analyst. Here’s what you can do with SQL:
- Execute queries against a database
- Retrieve, insert, update, and delete records
- Create new databases and tables
- Establish stored procedures and views
- Set permissions to manage access and security
Python π
Python is a versatile programming language that’s ideal for data analysis. With its extensive libraries like Pandas, you can:
- Perform complex data operations
- Analyze data with powerful statistical tools
- Clean and preprocess data efficiently
- Automate repetitive tasks
Excel π
Excel is a staple for financial analysis but also plays a crucial role in data analysis. You’ll learn to:
- Leverage advanced Excel functions
- Combine multiple data sets for comprehensive analysis
- Visualize data with charts and pivot tables
Power BI π
Power BI is a business analytics tool that enables you to visualize your data and share insights across your organization. In this course, you’ll discover:
- The importance of Power BI in modern data analysis
- How to import and transform data with Power BI Desktop
- Techniques for creating complex data models
- The use of DAX functions like COUNTROWS, CALCULATE, and SAMEPERIODLASTYEAR
- Methods for effective reporting, including the use of cards, maps, trend graphs, and slicers
- How to format reports with themes for a consistent look
- Ways to interact with your visualizations for dynamic reporting at various levels
What’s in It For You?
By the end of this course, you’ll have a robust skill set that not only helps you make sense of data but also empowers you to communicate your findings effectively. Whether you’re looking to advance your career in data analytics, pivot into business intelligence, or simply enhance your current role with data skillsβthis course is your golden ticket.
π Embark on Your Data Analysis Journey Today and Transform Your Career Tomorrow! π