About the Course
Learn how to use SQL quickly and effectively with this course!
You'll learn how to read and write complex queries to a database using one of the most in-demand skills. These skills are also applicable to any other primary SQL database, such as MySQL, Microsoft SQL Server, Amazon Redshift, Oracle, and much more.
Learning SQL is one of the fastest ways to improve your career prospects as it is one of the most in-demand tech skills! In this course, you'll learn quickly and receive challenges and tests along the way to improve your understanding!
You will learn everything you need to become an SQL Pro including:
the basics of SQL syntax, analyzing data using aggregate functions with group-by commands, running advanced queries with string operations and comparison operations, learning to use logical operators to add logic flow to your SQL queries, learning common SQL JOIN commands, learning to create tables and databases with constraints on data entries, learning to use Python to advance your SQL skills and much more!
Christian Udeochu is a Solution Architect(Analytics) at MuzeData USA currently involved with Data Modeling, Architecture and Data Engineering, he has a total of 14 Years of experience in IT/HR. Around 9 years of extensive experience in the field of Data Analysis, Database Development and Design with more than 4 years of experience in Data Modeling and Architecture and developing solutions (Reporting Applications) in the Retail, Telecommunications, Financial industries, Healthcare, Education, HRM and Government Agencies. Experienced Data Architect with a demonstrated history of working in the information technology and services industry across domains focusing on cloud and big data technologies.
Mr. Thomas Torku is a talented mathematics educator with focus on student success and empowers students of different ability levels to excel in math. He is a Ph.D. computational science candidate at Middle Tennessee State University (MTSU-USA) who deploys numerical analysis, machine learning and deep learning in epidemiology research and stochastic differential equations.
Due to this passion for real application of data science, Mr. Torku is currently working for JPMorgan Chase & Co. as Quantitative Analyst Summer Associate Intern. He makes use of popular data science libraries such as NumPy, pandas, TensorFlow, Pytorch, Pyspark etc. to draw insights from data-driven models.
With his expertise in applied mathematics and data science, Mr. Torku hopes to impact knowledge, skills and understanding of the real-world applications of data science.