Big Data Analysis With Pandas Data Frame

Name: Big Data Analysis With Pandas Data Frame
Rating: 4.5 (283 reviews)

Real World Projects: Data Analysis

Created bySaima Aziz

Last updated 12/2020

English

English [Auto],

What you'll learn

Students will apply coding skills to a wide range of datasets to solve real world projects, using Pandas data frame.

Course content

2 sections • 7 lectures • 1h 43m total length

Introduction1:25
Learn Python-based data analysis with Pandas DataFrame by applying coding skills to real-world datasets and building projects, from covid-19 to housing and police data.

Data analysis with python using Pandas data frame: Covid 19 dataset20:31
Analyze covid-19 data with Python using pandas data frame, performing region-wise sums of confirmed, deaths, and recovered cases, and explore nulls, sorting, and basic visualizations.
Data analysis with python using Pandas data frame: Cars dataset15:39
Analyze a cars dataset with pandas by cleaning nulls with means, counting categories, filtering origin Asia or Europe, removing records, and applying a three point increment to a score column.
Data analysis with python using Pandas data frame: police dataset20:12
Learn data analysis with pandas on a police dataset by cleaning missing values, exploring speeding by gender, examining search rates, computing mean stop duration, and comparing age distributions across violations.
Data analysis with python using Pandas data frame: Udemy courses dataset24:32
Perform data analysis on the Udemy courses dataset using Python and pandas, extracting subjects, pricing, subscriber counts, and publication year with filters and groupings.
Data analysis with python using Pandas data frame: London Housing dataset20:31
London housing dataset analysis with pandas: import csv, inspect shape and nulls, convert dates, add columns, and group by year and area to compute max, min, and mean.
Congratulations0:12
Celebrate completing the course and acknowledge your accomplishments as you move forward. Look forward to the next course and thank you for your effort.

Requirements

Introduction to Python: For absolute beginners: by Saima Aziz
Learn Python Fundamentals for data science: by Saima Aziz
Laptop or PC with Internet Connection
Motivation to learn

Description

Welcome to Data Analysis using Python. My name is Saima Aziz and I will be the instructor for this course. I have more than 25 years of teaching experience.

In this course, you will apply your coding skills to a wide range of datasets to solve real world projects using Pandas Data Frame, such as:

Covid-19 datasets,

London housing datasets,

Car datasets,

Police datasets,

Udemy courses datasets.

You will increase your chances of success in data science by experimenting with Python projects. That way, you're learning by actually doing instead of just watching videos.

Building projects will help you tie together everything you are learning. Once you start building projects, you will immediately feel like you are making progress.

Where should I start? What makes a good project? What do I do when I get stuck?

I have carefully designed the content of the course to be comprehensive and fully compatible with industrial requirements and easy to understand.

If you get stuck, don't give up! There is enough material in the course to help you solve the problems, and your hard work will pay off.

Who this course is for:

Those who are curious about data science and want to become data scientist.

Big Data Analysis With Pandas Data Frame

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 1min

Real Projects: Data analysis with Python using Pandas data frame6 lectures • 1hr 42min

Requirements

Description

Who this course is for: