The Complete Data Analysis Bootcamp in Python and SQL 2024

The Complete Data Analysis Bootcamp in Python and SQL 2024

Master the Practical Use of MySQL and Python Programming with Necessary Foundations for Complete Data Analysis Workflow.

Preview this Course

GET COUPON CODE

What you'll learn

• You will gain proficiency in SQL, and Python for data analysis. Prepare for a career as a data analyst with essential professional skills and knowledge.
• You will work on practical data analysis projects to apply learned skills. Enhance problem-solving abilities through hands-on data analysis exercises.
• You will learn facts and theories for data analysis, statistical analysis, hypothesis testing, and machine learning for foundations of data analytics.
• You will learn RDBMS fundamentals, covering key concepts such as primary and foreign keys, data types, and the various types of RDBMS and more.
• You will learn full stack manipulation of tables, columns, constraints, indices, null values, filtering, joining methods in MySQL or structured query language.
• You will learn the important Python programming basics such as variables naming, data types, lists, dictionaries, dataframes, sets, loops, functions etc.
• You will master a range of methods and techniques for data cleaning, sorting, filtering, data manipulation, transformation, and data preprocessing in Python.
• You will learn to use Python for data visualizations, exploratory data analysis, statistical analysis, hypothesis testing methods and machine learning models.
• You will pass 30+ practical assignments, 140+ coding exercises, 10 quizzes with 50+ questions, on all the topics over the entire career track.
• You will accomplish one capstone project on Sport data analysis at the end to get the full view of data analysis workflow.

Description

Embark on a journey to master the practical applications of MySQL and Python programming in data analysis with our comprehensive bootcamp. Whether you're a novice or have some experience in data analysis, this course is designed to equip you with the essential skills and knowledge needed for a successful career in the field.

Throughout the program, you'll delve into the intricacies of SQL and Python, honing your abilities through hands-on projects and exercises. From foundational concepts to advanced techniques, you'll gain proficiency in SQL querying and Python programming, preparing you for real-world data analysis scenarios.

Key Learning Objectives:

Develop proficiency in SQL and Python for data analysis.

Acquire essential professional skills and knowledge for a career as a data analyst.

Enhance problem-solving abilities through practical data analysis projects and exercises.

Gain insights into data analysis theories, statistical analysis, hypothesis testing, and machine learning fundamentals.

Master RDBMS fundamentals, including primary and foreign keys, data types, and database manipulation.

Learn full stack manipulation of tables, columns, constraints, indices, null values, and joining methods in MySQL.

Understand Python programming basics such as variables, data types, lists, dictionaries, loops, functions, and more.

Explore methods and techniques for data cleaning, sorting, filtering, manipulation, transformation, and preprocessing in Python.

Utilize Python for data visualizations, exploratory data analysis, statistical analysis, hypothesis testing, and machine learning models.

Complete practical assignments, coding exercises, quizzes, and a capstone project on sports data analysis to solidify your skills.

By the end of the bootcamp, you'll be equipped with the tools and expertise needed to tackle complex data analysis tasks and excel in your career. Whether you're aiming to enter the field of data analysis or looking to enhance your existing skills, this comprehensive course will pave the way for your success.

Who this course is for:

• Those who are interested in entering the field of data analysis and want to learn the complete tools and techniques used in the industry.
• Those who are highly interested in learning complete data analysis using SQL and Python.
• This course is NOT for those who are interested to learn data science or advanced machine learning application.