Data Analysis with Python Mastery Course
Master Python programming, data manipulation with pandas, and advanced analytical techniques
Updated on Jun, 2024
Language - Hindi
Lectures -44
Duration -16.5 hours
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Course Description
Dive deep into the realm of data analysis and unlock the potential of Python as your go-to tool. Our comprehensive course offers a holistic learning experience tailored to equip you with the skills and knowledge essential for success in the dynamic field of data analytics.
Beginning with an exploration of the fundamental principles of business and data, you'll gradually immerse yourself in the world of Python programming through interactive sessions and hands-on exercises. From mastering Python basics and syntax to understanding advanced concepts such as object-oriented programming and NumPy, each module is meticulously crafted to build a strong foundation and enhance your analytical capabilities.
As you progress through the course, you'll unravel the power of data manipulation and analysis using industry-standard libraries like pandas, gaining practical insights into handling real-world datasets with ease. Through guided projects and lab sessions, you'll have the opportunity to apply your newfound skills to solve complex data challenges and derive actionable insights.
Whether you're a seasoned professional looking to upskill or a newcomer eager to explore the world of data, this course is designed to cater to learners of all backgrounds and levels of expertise. Join us on this exciting journey and unleash the full potential of data analysis with Python!
Major Topics Covered:
Introduction to Business and Data: Understanding the role of data in driving business decisions.
Python Basics and Jupyter Notebooks: Exploring the fundamentals of Python programming and interactive computing.
Basic Python Syntax and Conditional Programming: Mastering syntax fundamentals and conditional logic.
Functions and Sequences: Understanding the principles of functions and sequences in Python.
Object-Oriented Programming (OOP) and NumPy: Delving into object-oriented programming concepts and leveraging NumPy for numerical computing.
Pandas Library and Data Manipulation: Exploring data manipulation techniques using the pandas library.
Working with Files and Data Importing: Managing files and importing data from various sources.
Data Cleaning and Preprocessing: Learning techniques for cleaning and preprocessing raw data for analysis.
Exploratory Data Analysis (EDA): Conducting exploratory data analysis to gain insights and identify patterns.
Advanced Topics: Data Gathering, Linear Algebra, and APIs: Exploring advanced topics such as data gathering techniques, linear algebra operations, and working with APIs.
Capstone Project: Applying acquired skills to a real-world data analysis project, from data cleaning to visualization and interpretation.
Enroll now and embark on your journey to mastering data analysis with Python!
Goals
- Understand the Role of Data in Business and Python Basics: Grasp the fundamental principles of how data drives business decisions and master the basics of Python programming using Jupyter Notebooks.
- Master Python Syntax, Conditional Programming, and Functions: Develop a strong understanding of Python syntax, conditional logic, and the principles of functions and sequences.
- Explore Object-Oriented Programming (OOP) and NumPy: Learn the principles of object-oriented programming and utilize NumPy for numerical computing.
- Manipulate and Analyze Data with pandas: Acquire skills in data manipulation and analysis using the pandas library, including techniques for data cleaning, preprocessing, and exploratory data analysis (EDA).
- Handle Files, Import Data, and Advanced Data Techniques: Manage files, import data from various sources, and explore advanced topics such as data gathering techniques, linear algebra operations, and working with APIs.
- Apply Skills in Real-World Projects: Implement acquired skills in a capstone project, involving all stages from data cleaning to visualization and interpretation, and gain practical insights through guided projects and lab sessions.
- Foster Analytical Capabilities for All Learner Levels: Provide a comprehensive learning experience that enhances analytical capabilities and caters to both newcomers and seasoned professionals in data analysis, preparing them for success in the dynamic field of data analytics.
Prerequisites
- Basic Computer Skills: Proficiency in using a computer, navigating the internet, and working with files and folders.
- Introductory Knowledge of Programming: Familiarity with basic programming concepts such as variables, loops, and conditionals.
- Experience with any programming language (e.g., Python, Java, C++) is beneficial but not mandatory.
- Basic Mathematics: Understanding of high school-level algebra and basic mathematical concepts.
- Enthusiasm and Willingness to Learn: A keen interest in data analysis and a commitment to actively participate in hands-on exercises and projects.
While the course is designed to accommodate learners of all backgrounds and levels of expertise, having the above prerequisites will help you smoothly progress through the material and fully benefit from the learning experience.
Curriculum
Check out the detailed breakdown of what’s inside the course
Module 1: Introduction to Business and Data
1 Lectures
-
Introduction to Business and Data
22:54
22:54
Module 2: Python Basics and Jupyter Notebooks
3 Lectures
Module 3: Basic Python Syntax
8 Lectures
Module 4: Functions and Sequences
6 Lectures
Module 5: Object-Oriented Programming (OOP) and NumPy
6 Lectures
Module 6: pandas Library and Data Manipulation
3 Lectures
Module 7: Working with Files and Data Importing
2 Lectures
Module 8: Data Cleaning and Preprocessing
8 Lectures
Module 9: Exploratory Data Analysis (EDA)
2 Lectures
Module 10: Advanced Topics
2 Lectures
Module 11: Capstone Project
3 Lectures
Instructor Details
Selfcode Academy
At SelfCode Academy, we are more than just an educational platform; we are the gateway to unlocking the world of coding and technology. As a premier EdTech brand, we are dedicated to empowering individuals with the skills and knowledge they need to thrive in the digital age.
Our mission is to demystify the world of coding and make it accessible to everyone, regardless of their background or prior experience. We understand that technology is shaping the future, and coding is its language. That's why we have curated a range of comprehensive coding courses that cater to beginners, intermediate learners, and even seasoned programmers looking to upskill.
What sets SelfCode Academy apart is our commitment to excellence in education. Our courses are meticulously designed by industry experts to ensure relevance, practicality, and engagement. Through our user-friendly online platform, learners can access a variety of programming languages, development tools, and project-based learning opportunities.
We recognize that each individual learns at their own pace, which is why our courses are self-paced, allowing learners to progress in a way that suits their schedule and preferences. We provide a supportive learning environment with dedicated instructors, a vibrant community forum, and interactive resources that facilitate both independent and collaborative learning.
At SelfCode Academy, we believe that coding is not just a skill, but a mindset that fosters creativity, problem-solving, and innovation. Our vision is to equip learners with the ability to turn their ideas into tangible digital solutions, whether it's building websites, developing apps, or shaping the technologies of tomorrow.
Join us on a transformative journey where you'll gain more than just coding skills – you'll gain the confidence to navigate a tech-driven world and make your mark on it. Welcome to SelfCode Academy, where your coding aspirations become a reality.
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