Data Science Fundamentals With Python And SQL Training and Certification

About our Data Science Fundamentals With Python And SQL course

Our Data Science Fundamentals With Python And SQL course offers a comprehensive introduction to the world of Data Science. This course is designed to help you understand and apply the fundamental concepts and techniques of Data Science, Python, and SQL.

Overview of our Data Science Fundamentals With Python And SQL Training

This training program provides an in-depth overview of Data Science concepts, Python programming, and SQL database management. It is structured to provide learners with practical knowledge and skills to analyze, interpret, and visualize data effectively.

Objectives of our Data Science Fundamentals With Python And SQL training course

The main objective of this course is to equip learners with the necessary skills to extract valuable insights from data using Python and SQL, and to apply these skills in real-world scenarios.

What you will learn in our Data Science Fundamentals With Python And SQL classes

• Understanding of Data Science concepts and methodologies.
• Proficiency in Python programming for Data Science.
• Mastering SQL for database management.
• Applying data visualization techniques using Python libraries.
• Working with real-world data sets and projects.
• Preparing for a career in Data Science.

Course details

The course duration is 6 months. It is an intermediate level course with prerequisites including basic knowledge in mathematics and programming. Upon successful completion of the course, learners will receive a certification.

Course Syllabus

Here is the syllabus for our Data Science Fundamentals With Python And SQL Training:

• Module 1: Introduction to Data Science
  • Understanding the basics of Data Science
  • Exploring the role of Data Scientist
  • Introduction to various data structures
  • Overview of big data and machine learning
• Module 2: Python for Data Science
  • Learning Python basics and setting up the environment
  • Understanding Python data structures
  • Working with Python libraries for Data Science
  • Introduction to data analysis with Python
• Module 3: SQL for Data Management
  • Understanding database concepts
  • Learning SQL basics
  • Performing complex queries and database management with SQL
  • Working with real-world databases
• Module 4: Data Analysis and Visualization
  • Working with data visualization libraries in Python
  • Performing exploratory data analysis
  • Creating meaningful data visualizations
  • Working on a real-world data project