Python Programming For Data Science

Welcome to our comprehensive Python Programming for Data Science course! Designed for beginners and non-technical individuals, this course will guide you through the fundamentals of Python and take you to an advanced level, ensuring you gain all the necessary skills to excel in the data science field.

What You Will Learn:

Introduction to Python

• Overview of Python: Understand the applications and significance of Python in various fields.
• Installing Python: Step-by-step guidance on setting up your development environment.
• Using Jupyter Notebooks: Learn to work with Jupyter Notebook, Jupyter Lab, and Google Colab for efficient coding and data analysis.
• Python Basics: Get familiar with Python syntax and structure, variables, data types, basic operations, and input/output operations.

Control Flow

• Conditional Statements: Master if, elif, and else statements for decision-making in your code.
• Loops: Understand the functionality of for and while loops, along with break and continue statements.

Data Structures and Functions

• Data Structures: Learn about lists, tuples, sets, and dictionaries, and their respective operations.
• Functions: Explore how to define and call functions, use function arguments, return values, lambda functions, and understand the scope and lifetime of variables.

Working with Libraries

• Introduction to Libraries: Learn to import and use essential Python libraries for data science, including NumPy, Pandas, Matplotlib, and Seaborn.
• NumPy: Gain proficiency in using NumPy arrays, array operations, broadcasting, and working with multi-dimensional arrays.
• Pandas: Understand DataFrames and Series, data reading/writing, cleaning, preprocessing, manipulation, and handling missing data.

Data Visualization

• Matplotlib: Create and customize basic plots such as line, bar, and scatter plots.
• Seaborn: Dive into advanced visualizations including heatmaps, pair plots, and distribution plots, and learn to customize these visualizations.

Advanced Data Analysis

• Advanced Pandas: Learn to merge, join, and concatenate DataFrames, work with pivot tables, and perform time series analysis.
• Data Aggregation and Group Operations: Master GroupBy operations, aggregation functions, and applying custom functions to data.

Throughout the course, you will also engage in mathematical operations, logic building, problem-solving, and statistics using Python. Our experienced instructor, Ms. Supriya Jadhaw, Senior Data Scientist at Datacrew Education, will ensure that even non-technical individuals can understand and apply Python programming effectively.

By the end of this course, you will be well-equipped to handle data science tasks and challenges confidently, making you ready for the real-world demands of the industry. Join us and start your journey towards becoming a proficient Python programmer and data scientist!