Python Basics + Data Science : Numpy & Pandas Guide

From Fundamentals to Real-World Applications: Master Python, NumPy, and Pandas for Data Analysis

What you'll learn

Learn Python syntax, variables, loops, functions, and error handling to write efficient code for basic programming tasks

nderstand NumPy arrays, slicing, reshaping, and vectorized operations for efficient numerical computing with large datasets.

Gain hands-on experience with Pandas for data cleaning, filtering, grouping, and merging datasets in Python.

Solve coding challenges and build real-world projects using Python, NumPy, and Pandas to showcase skills to potential employers.

Requirements

No programming experience required, you will get to learn everything in course

Description

Unlock the power of Python programming and data science with this comprehensive course designed for beginners and intermediate learners. Whether you're just starting with Python or looking to strengthen your data analysis skills, this course will guide you through the foundational concepts and essential tools used by professionals in the field of data science. By the end of this course, you’ll have a solid understanding of Python, NumPy, and Pandas, allowing you to tackle real-world data challenges with confidence.What You’ll Learn:Master Python Basics: Learn Python fundamentals, including variables, data types, loops, conditionals, and functions. Build a strong foundation for your programming journey.Working with NumPy: Dive into NumPy arrays, slicing, indexing, reshaping, and performing mathematical operations on large datasets. Understand the power of vectorization for high-performance computing.Data Manipulation with Pandas: Gain hands-on experience with Pandas DataFrames, Series, data cleaning, filtering, grouping, merging, and data transformation techniques. Learn how to manage and analyze datasets with ease.Practical Projects & Coding Challenges: Apply your skills through coding exercises inspired by top MNC companies and real-world data science problems. Build a portfolio of projects to showcase your skills to employers.Data Analysis Workflow: Learn the end-to-end process of working with data—importing, cleaning, analyzing, and visualizing data. Become comfortable using Python to turn raw data into valuable insights.Why This Course?Beginner-Friendly: No prior programming experience required. This course starts with the basics and gradually progresses to more advanced topics like data analysis and manipulation with NumPy and Pandas.Hands-On Learning: With plenty of coding exercises and real-world projects, you’ll learn by doing, reinforcing your knowledge through practical experience.Industry-Relevant Skills: Python, NumPy, and Pandas are some of the most in-demand skills for data scientists, analysts, and machine learning engineers. Gain practical experience with these tools to open up career opportunities.Real-World Applications: This course is packed with practical applications, including problem-solving exercises from top global companies, preparing you for the types of challenges you’ll face in the job market.Who Is This Course For?Aspiring Data Scientists who want to build a solid foundation in Python and data science libraries like NumPy and Pandas.Beginners in Programming looking to learn Python and apply it to real-world data problems.Students and Professionals who want to enter the field of data analysis, data science, or machine learning.Developers transitioning into data science who need to learn data manipulation and analysis tools in Python.Anyone interested in learning Python and data science for career growth, personal development, or transitioning into a data-driven role.What’s Included in the Course?50+ Video Lessons: Easy-to-follow lectures covering Python basics, NumPy, Pandas, and essential data analysis concepts.Hands-on Projects: Real-world examples, coding exercises, and mini-projects to apply what you've learned.Quizzes and Challenges: Interactive quizzes and coding challenges to test your knowledge and reinforce learning.Downloadable Resources: Code snippets, datasets, and extra resources to help you practice and grow your skills.Lifetime Access: Learn at your own pace with lifetime access to course materials and updates.Why Take This Course?This Python Basics + Data Science course is perfect for anyone looking to break into the field of data science or strengthen their data analysis skills. With a focus on Python, NumPy, and Pandas, you’ll learn the essential tools used by industry professionals to manipulate, analyze, and visualize data. The practical projects and coding challenges will prepare you for real-world data science tasks, giving you the confidence to apply your skills in any professional setting.By the end of this course, you’ll not only have mastered Python programming and data science libraries but also have the ability to solve complex data problems, making you a valuable asset in the tech and data science industries.Enroll today and start your journey to becoming a data science professional!

Overview

Section 1: Introduction to python and environment

Lecture 1 Introduction

Lecture 2 Online IDE'S

Lecture 3 Offline IDE's and environment

Section 2: Comments, Indentation and Syntax

Lecture 4 Basic Synatx

Lecture 5 Comments

Lecture 6 Indentation

Section 3: Operators, Variables and Data Types

Lecture 7 Keywords and Identifiers

Lecture 8 Types of operators

Lecture 9 Operator (cont.)

Lecture 10 Data types and type casting

Section 4: Conditional statement and loops

Lecture 11 If-else condition

Lecture 12 For and while Loop

Section 5: Function and modules

Lecture 13 Types of function

Lecture 14 global and local scope

Section 6: Basic Data Structures

Lecture 15 Lists

Lecture 16 Tuples

Lecture 17 Dictionaries

Lecture 18 Lists vs tuples vs dictionaries

Section 7: Introduction to Numpy and pandas

Lecture 19 Introduction to Numpy

Lecture 20 Functions in numpy

Lecture 21 Introduction to pandas

Lecture 22 Functions in pandas

Lecture 23 creating new dataframe and cleaning data

Aspiring data analysts, data scientists, and machine learning engineers who want to get hands-on experience with Python, NumPy, and Pandas.,Students or professionals seeking to expand their skill set and pursue a career in data science, programming, or related fields.,Developers transitioning to Python who need to strengthen their understanding of data manipulation and numerical computing libraries.,Anyone interested in solving real-world problems by working with data through coding exercises and projects from top MNC companies.,Anyone interested in data analysis who prefers a hands-on learning approach with coding challenges and practical projects,Students in STEM fields who want to improve their coding and data manipulation skills, preparing for internships or future roles in tech.