Master Data Analysis with Python: Pandas, Statistics & Visualization

What you will learn:

Master Python and Pandas for data analysis
Cleanse and prepare datasets for analysis (handle missing data, validate quality)
Perform descriptive and inferential statistical analysis
Efficiently manipulate and transform datasets using Pandas functions
Create impactful and compelling data visualizations using Python libraries

Description

Become a data-driven professional with our comprehensive Python for Data Analysis course!

In today's data-rich world, the ability to extract meaningful insights is paramount. This course empowers you with the essential Python skills and Pandas expertise to tackle real-world data analysis challenges. We'll guide you through a practical, hands-on learning journey, starting with Python fundamentals and progressing to advanced techniques.

Learn to conquer messy datasets by mastering data cleaning, handling missing values, and ensuring data quality. Unlock the power of Pandas to manipulate, transform, and reshape data with ease. Discover the art of descriptive and inferential statistics, applying regression analysis to reveal hidden patterns and relationships. Finally, communicate your findings effectively by creating captivating data visualizations using Python's powerful libraries.

This course isn't just theory; it's packed with practical exercises and real-world examples to solidify your understanding and build your confidence. Whether you're a beginner or have some Python experience, we'll equip you with the skills to become a proficient data analyst. You'll be prepared to analyze time series data, perform complex data integrations, and create insightful reports that drive decision-making.

Taught by Tayzer, a skilled data analyst with a proven track record in various industries, this course blends theoretical knowledge with practical application, ensuring you're ready to apply your newfound skills immediately. Developed by MTF Institute, a global leader in education, you can trust in the quality and comprehensive nature of this program.

Enroll now and transform your data skills into a rewarding career!

Course provided by MTF Institute of Management, Technology and Finance, a global educational institute with HQ in Lisbon, Portugal, partnered with IBM, Intel, and Microsoft.

Curriculum

Introduction

This introductory section sets the stage for the course. The "Introduction" lecture provides a general overview, while the "Welcome to MTF" lecture gives you context regarding the course provider, MTF Institute, its global reach, and industry partnerships.

Python for Data Analysis

This core section dives deep into the practical application of Python for data analysis. You'll begin with a course overview and a Python basics recap, followed by an introduction to data analysis concepts and the Pandas library. Key topics covered include file handling and data storage, descriptive and inferential statistics, techniques for handling missing data and ensuring data quality, regression analysis, merging and joining datasets, time series data management, pivot tables and data reshaping, and finally an introduction to and expansion of your data visualization toolkit with practical examples.

Practical exercises

This section reinforces your learning through hands-on exercises. You'll tackle three practical exercises, applying the techniques learned throughout the course. The final lecture provides concluding remarks and guidance.

Bonus Section: Next Steps

This brief bonus section points you towards additional resources and learning pathways to continue your data analysis journey after completing the course.