Data Analysis Real-World Use-Cases — Hands-on Python
Self-paced video training — 6 modules, 40 lessons. Work through it at your own pace — every lesson is real recorded training, not slide-reading.
▶INSIDE THE COURSE · 40 LESSONSABOUT THIS COURSE
In this advanced course, students will engage in hands-on projects to analyze real-world data using Python. Participants will work with datasets from Uber, hotel bookings, and Covid-19, learning to prepare data, conduct exploratory data analysis, and derive insights from their findings. By the end of the course, learners will gain practical experience in applying data analysis techniques to various scenarios.
CURRICULUM
6 modules, in order.
01Intro to this course course Benefits3 LESSONS
this lesson introduces the course and discusses its benefits.
learn how to effectively follow along with the course content.
this lesson covers the installation process for Anaconda Navigator.
02Project 1-- Uber New York Data Analysis10 LESSONS
learn how to collect data for analysis.
this lesson focuses on preparing the data for Uber data analysis.
analyze the trips taken by Uber in this lesson.
learn to analyze monthly ride data for Uber.
this lesson covers analyzing the demand for Ubers.
perform cross-analysis on the Uber data.
execute spatial analysis on the demand for Ubers.
analyze Uber pickups on a monthly basis.
this lesson focuses on analyzing rush hour in New York City.
perform an in-depth analysis of the Uber base number.
03Project 2-- Hotel Booking Data Analysis8 LESSONS
prepare data for analysis in the hotel booking project.
perform spatial analysis on guests' hometowns in this lesson.
explore how hotel prices vary throughout the year.
analyze guest preferences in hotel bookings.
this lesson covers the relationship between special requests and cancellations.
analyze which month is the busiest for hotel bookings.
learn more about hotel customers in this lesson.
analyze the hotel booking data further.
04Project 3-- Covid-19 Data Analysis6 LESSONS
prepare data for the Covid-19 analysis project.
analyze total cases, deaths, recovered, and active cases in this lesson.
perform exploratory data analysis on Covid-19 data.
analyze countries that were severely affected by the Covid-19 pandemic.
perform in-depth analysis on covid-19 data to gain insights.
automate your covid-19 data analysis to improve efficiency.
05Project 4--Finance Data Analysis7 LESSONS
perform descriptive analysis on finance data to summarize key statistics.
understand data preprocessing techniques for finance data.
analyze the education status of customers in finance data.
analyze the distribution of account holders in finance data.
automate your finance data analysis to streamline processes.
analyze customer behavior based on various attributes in finance data.
perform hypothesis testing on finance data to validate assumptions.
06Project 5-- Amazon Customers Data Analysis6 LESSONS
learn how to read data from an SQLite database for analysis.
perform sentiment analysis on amazon customer data to gauge opinions.
explore how amazon recommends products to customers.
analyze customer feedback to identify trends and issues.
prepare amazon customer data for analysis by cleaning and organizing.
analyze customer behavior to uncover patterns in amazon data.
CURATED BY
Selected from experienced educators' training libraries and kept whole — modules, worked examples and walkthroughs exactly as taught.
GOOD TO KNOW
Lessons stream in the browser and remember where you stopped.
Watch on two devices at once — phone, tablet or desktop.
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$79 · ONE PAYMENT
Own every lesson, for life.
One payment unlocks all 40 lessons instantly — start with lesson one the moment you check out.