Udemy - SQl + Python for Data Analytics & Business Analytics (19 Hours) Free Download

Udemy – SQl + Python for Data Analytics & Business Analytics (19 Hours)
English | Tutorial | Size: 13.34 GB

Analyze Data Like a Pro leveraging SQL Server and Python Development, A Practical Guide to Data and Business Analytics

Embark on a journey to become a proficient SQL user with our comprehensive course designed for beginners and advanced learners alike. Whether you are a database novice or looking to enhance your SQL skills, this course covers everything you need to know about Structured Query Language (SQL) and its application in database management.

1 Foundation of SQL:-

Understanding the fundamentals of relational databases.

Mastering the basics of SQL syntax and structure.

Creating and manipulating database tables.

2 Querying Data:-

Writing powerful SQL queries to retrieve and filter data.

Employing advanced querying techniques for complex data extraction.

3. Data Modification:-

Inserting, updating and deleting records in a table.

Ensuring data integrity through constraints.

4. Joins and Relationships:-

Exploring relationship between tables

Utilizing different types of joins for comprehensive data retrieval.

5 Data Aggregation and Grouping:-

Understanding aggregate functions for summarizing data

Grouping and transforming data for insightful analysis

Python:-

Unlock the power of Python to analyze, interpret, and visualize data for smarter business decisions. This hands-on course is designed to teach you how to use Python effectively for data analytics and business intelligence tasks – even if you’re from a non-programming background.

You will learn how to work with real-world datasets, clean and transform data, perform statistical analysis, generate actionable insights, and build impactful visualizations. From foundational programming concepts to advanced analytics using pandas, NumPy, Matplotlib this course covers everything you need to become a data-driven analyst.

Python basics: syntax, data types, loops, and functions

Data manipulation using pandas and NumPy

Exploratory data analysis (EDA) techniques

Data visualization with Matplotlib and Seaborn

Handling real-world business datasets

Working with Excel, CSV, and SQL using Python

Automating tasks and generating summary reports

By the end of this course, you will have the knowledge and hands-on experience to confidently work with SQL databases, manage data effectively, and optimize database performance and Python Development.

Whether you are pursuing a career in database administration, data analysis BI developer.

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