Data Science is an interdisciplinary field that uses scientific methods and algorithms to extract clean information from raw data for the formulation of actionable insights. The Data Science field is growing rapidly and revolutionizing many industries. Data Science has incalculable benefits in business, research, and our everyday lives. Your route to work, your most recent Google search for the nearest coffee shop, your Instagram post about what you ate, and even the health data from your fitness tracker are all important to different data scientists in different ways.

Sifting through massive lakes of data, looking for connections and patterns, data science is responsible for bringing us new products, delivering breakthrough insights, and making our lives more convenient.

It encompasses a wide range of topics:

• Fundamentals of Python
• Python Data Structures
• Python Functions
• Python for Data Science
• Data Cleaning
• Query Analysis
• Data Visualizations using Python
• Statistics and Probability
• Hypothesis Testing
• Data Exploration

Each of these topics builds on the other. You need to acquire all the skills in the right order.

• Learn Python - the most popular programming language for Data Science and Software Development.
• Apply Python programming logic: Variables, Data Structures, Branching, Loops, Functions, Objects & Classes.
• Demonstrate proficiency in using Python libraries such as Pandas & Numpy, and developing code using Jupyter Notebooks.
• Access and web scrape data using APIs and Python libraries like Beautiful Soup.

• Category: Data Science
  • Data Science
• Category: Data Analysis
  • Data Analysis
• Category: Python Programming
  • Python Programming
• Category: Numpy
  • Numpy
• Category: Pandas
  • Pandas

You are at the right place!!!