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  3. Applying Python for Data Analysis

Applying Python for Data Analysis

This course is perfect for data analysts, business professionals, and anyone looking to level up their Python skills using Pandas. Participants will master Pandas to turn raw data into actionable insights.

Diogo Resende
Diogo Resende
Data Science | core | 1 hour 45 minutes |   Published: Jan 2025

    Discussions

Overview

1KSTUDENTS*
96.5%RECOMMEND*

This course includes:

  • 1 hour and 45 minutes of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

This course is perfect for data analysts, business professionals, and anyone looking to level up their Python skills using Pandas. Participants will dive deep into Pandas to gain expertise in data manipulation, cleaning, and analysis, turning raw data into actionable insights. 

Python is the Goliath behind giants. We're talking Google, NASA, Netflix—all harnessing its power for web development, data crunching, AI, and more. And Python isn’t just popular; it’s a powerhouse. Dominating as the fastest-growing major programming language, it’s captured 28.3% of the developer community, thanks to its simplicity and versatility. 

Learners will work with a real-world data set, analyzing customer data for a Burger restaurant, its sales data and demographics. This hands-on approach ensures learners are ready to handle complex data analysis tasks, make data-driven decisions, and communicate their findings effectively. 

By the end of this course, learners will be able to demonstrate use of Pandas, making them valuable assets in their professional fields. They will be able to transform raw data into compelling insights, driving business strategies and achieving better outcomes. 

Skills You Will Gain

Pandas
Data Analysis
Python
Python Programming
Python files
Data Manipulation
Data Visualization

Learning Outcomes (At the end of this program you will be able to)

  • Construct and manipulate data structures using Pandas.
  • Analyze and visualize data sets to extract meaningful insights.
  • Evaluate and apply advanced data analysis techniques such as time series analysis and data aggregation.

Prerequisites

Participants should have basic proficiency in Python, as the course involves constructing and manipulating data structures using Python libraries. Additionally, an understanding of fundamental statistical concepts is necessary, including measures of central tendency and variation, normal distribution, and correlation. This foundational knowledge will enable participants to effectively grasp and apply more advanced data analysis techniques taught in the course.
 

Who Should Attend

This course is tailored for Data Analysts, Business Analysts, and Python Programmers who are looking to advance their data analysis skills. It is ideal for professionals who regularly work with data, generate reports, and provide insights that support business decisions. Participants should have a strong interest in leveraging Python to enhance their analytical capabilities and improve their data-driven decision-making processes.
 

Curriculum

Instructors

Frequently Asked Questions

How much do the courses at Starweaver cost?

We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.

Do you offer any certifications upon completion of a course at Starweaver?

Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

Does Starweaver offer any free courses or trials?

No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.

Are Starweaver's courses designed for beginners or advanced students?

Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.

What payment options are available for Starweaver courses?

We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.

Do you offer refunds?

Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 1: Pandas, Dataframes and Series
2Module 2: Data Cleaning and Preprocessing
3Module 3: Advanced Data Analysis and Visualization with Pandas

Segment 05 - Handling Missing Data

Segment 06 - Data Cleaning and Preparation

Segment 07 - Data Manipulation 

Segment 01 - Introduction to the Course & Meet Your Instructor

Segment 02 - Introduction to Pandas

Segment 03 - DataFrames and Series

Segment 04 - Selecting and Filtering

Segment 08 - Data Analysis

Segment 09 - Data Visualization Part 1

Segment 10 - Data Visualization Part 2

Segment 11 - Congratulations and Continuous Learning Journey

Diogo Resende

Diogo Resende

With a profound commitment to bridging analytical acumen with practical business solutions, I bring a wealth of experience from both the corporate arena and the realm of academia. My journey, rooted in a Master's Degree in Management from ESMT Berlin, delved deeply into the dynamics of analytics, culminating in a thesis that tackled the intricate challenge of mitigating demand and supply disparities exacerbated by weather conditions. Complementing this academic pursuit, I immersed myself in real-world initiatives, contributing to the United Nations Development Program's endeavor to enhance financial inclusion through mobile money in Ethiopia and Lesotho. This fusion of theoretical rigor and hands-on engagement underscores my approach to teaching, wherein I aim to empower learners with not just theoretical knowledge but also actionable insights gleaned from diverse contexts. My academic prowess is complemented by a rich tapestry of professional experiences, notably during my tenure as Senior Commercial Planning and Strategy Manager at Zalando Germany. Here, I spearheaded pivotal initiatives driving commercial performance, liaising with cross-functional teams to orchestrate strategic maneuvers. Beyond the boardroom, I ventured into the realm of online education, crafting six meticulously curated courses on Business Analytics, which garnered acclaim on platforms like Udemy. With over four thousand students benefitting from these courses, each boasting a bestseller status, my commitment to disseminating knowledge transcends conventional boundaries, reaching eager learners worldwide. Beyond the confines of corporate strategy and academia, my journey is punctuated by a diverse array of endeavors, ranging from my stint as a Pro Bono Consultant for the Lesotho Scaling Inclusion through Mobile Money platform to my role as an Editor and Marketing Associate at Rádio Universidade de Coimbra. Whether crafting sustainable business plans or anchoring news segments, my trajectory reflects an unwavering dedication to effecting positive change through innovation and collaboration. As I embark on this educational journey, I am poised to not just impart knowledge but also cultivate a vibrant community of learners driven by curiosity and a shared quest for transformative insights.

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