Data Analysis Real world use-cases- Hands on Python

Data Analysis Real world use-cases- Hands on Python, available at $59.99, has an average rating of 4.54, with 62 lectures, based on 982 reviews, and has 67811 subscribers.

You will learn about Get a job as a data Analyst on an average $156,000 after showcase these Projects on your Resume By the end of this course you will understand the inner workings of the data analytics pipeline -joining,manipulating,filtering, extracting data ,Analysing Data Solve any problem in your business, job or in real-time with powerful data analysis libraries you will expertise in Pandas , Numpy , Seaborn, Matplotlib , Plotly ,Folium, Geopy , Wordcloud , re and many other.. Learn how to work with various data within python, including: Excel Data,Geographical data,Text Data and Time Series Data Data Solve any problem in your business, job or in real-time with powerful data analysis libraries This course is ideal for individuals who are Everyone who want to step into Data Science/Data Analytics. or Anyone interested about the rapidly expanding world of data Analytics/Data Science or Data Scientists/Data Analyst who want to improve their Data Handling/Manipulation/Analysis skills. or Anyone who want to switch Data Projects from Excel to Python (e.g. in Research/Science) or Excel users looking to learn a more powerful software for data analysis It is particularly useful for Everyone who want to step into Data Science/Data Analytics. or Anyone interested about the rapidly expanding world of data Analytics/Data Science or Data Scientists/Data Analyst who want to improve their Data Handling/Manipulation/Analysis skills. or Anyone who want to switch Data Projects from Excel to Python (e.g. in Research/Science) or Excel users looking to learn a more powerful software for data analysis.

Enroll now: Data Analysis Real world use-cases- Hands on Python

Summary

Title: Data Analysis Real world use-cases- Hands on Python

Price: $59.99

Average Rating: 4.54

Number of Lectures: 62

Number of Published Lectures: 51

Number of Curriculum Items: 62

Number of Published Curriculum Objects: 51

Original Price: ?799

Quality Status: approved

Status: Live

What You Will Learn

Get a job as a data Analyst on an average $156,000 after showcase these Projects on your Resume

By the end of this course you will understand the inner workings of the data analytics pipeline -joining,manipulating,filtering, extracting data ,Analysing Data

Solve any problem in your business, job or in real-time with powerful data analysis libraries

you will expertise in Pandas , Numpy , Seaborn, Matplotlib , Plotly ,Folium, Geopy , Wordcloud , re and many other..

Learn how to work with various data within python, including: Excel Data,Geographical data,Text Data and Time Series Data Data

Solve any problem in your business, job or in real-time with powerful data analysis libraries

Who Should Attend

Everyone who want to step into Data Science/Data Analytics.

Anyone interested about the rapidly expanding world of data Analytics/Data Science

Data Scientists/Data Analyst who want to improve their Data Handling/Manipulation/Analysis skills.

Anyone who want to switch Data Projects from Excel to Python (e.g. in Research/Science)

Excel users looking to learn a more powerful software for data analysis

Target Audiences

Everyone who want to step into Data Science/Data Analytics.

Anyone interested about the rapidly expanding world of data Analytics/Data Science

Data Scientists/Data Analyst who want to improve their Data Handling/Manipulation/Analysis skills.

Anyone who want to switch Data Projects from Excel to Python (e.g. in Research/Science)

Excel users looking to learn a more powerful software for data analysis

This is the first course that gives hands-on Data Analysis Projects using Python..

Student Testimonials:

Shan Singh is absolutely amazing! Step-by-step projects with clear explanations. Easy to understand. Real-world  Data Analysis projects. Simply the best course on Data Analysis that I could find on Udemy! After the course you can easily start your career as a Data Analyst.-Nicholas Nita

This is the best course for people who have just learnt python basics(prerequisite for this course) and want to become Data Analyst/Data Scientist. This will act as bridge between fundamental theoretical python syntax to its application by using most important data analysis packages(Pandas, Matplotlib, Plotly etc). –Mirza Hyder Baig

Very good course, on one side the instructor elaborates on technic general knowledge like what is integer (signed/un-signed and what it contains) on the other side he is very short and to the chase with the python commands and the requirements execution flow –Tal Ioffe

superb. .. what a good soul he is his voice is filled with love and humbleness and understanding.he knows the pains of a begineer when he explains it fells like he is explaining to a 5 year old kid. –

Can you start right now?

A frequently asked question of Python Beginners is: “Do I need to become an expert in Python coding before I can start working on Data Analysis Projects?”

The clear answer is: “No!

You just require some Python Basics like data types, simple operations/operators, lists and numpy arrays that you can learn from my Free Python course ‘Basics Of Python’

As a Summary, if you primarily want to use Python for Data Science/Data Analytics or as a replacement for Excel, then this course is a perfect match!

Why should you take this Course?

It explains Real-world Data Analysis Projects on  real Data. No toy data! This is the simplest & best way to become a Data Analyst/Data Scientist

It shows and explains the full real-world Data. Starting with importing messy data, cleaning data,merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Data Analysis , Machine Learning and Data Presentation.

It gives you plenty of opportunities to practice and code on your own. Learning by doing.

In real-world Data Analysis projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusionby doing Data Analysis ..

Guaranteed Satisfaction: Otherwise, get your money back with 30-Days-Money-Back-Guarantee.

Course Curriculum

Chapter 1: Intro to this course & course Benefits

Lecture 1: Intro to this course

Lecture 2: Utilize QnA of the course ( Golden Oppurtunity ) !

Lecture 3: How to follow this course-Must Watch

Lecture 4: Installation of Anaconda Navigator

Lecture 5: Quick Summary of Jupyter Notebook

Chapter 2: Introduction to Life-Cycle of Data Analytics Project

Lecture 1: First Stage : Business Understanding in Real World

Lecture 2: Second Stage : What is ETL (Extract ,Transform,Load) Pipeline ?

Lecture 3: Third Stage : EDA(Exploratory Data Analysis) + Conclusions

Chapter 3: Project 1–>> Uber New York Data Analysis

Lecture 1: Datasets & Resources

Lecture 2: How to Read data for Analysis !

Lecture 3: Performing Data pre-processing/Data cleaning !

Lecture 4: Analysing which month have max Uber Pickups ?

Lecture 5: Analysing Hourly Rush in New york !

Lecture 6: Analysing most active Uber Base-number !

Lecture 7: Lets Collect entire data : Data Collection !

Lecture 8: Perform Spatial Analysis to find rush of Uber Pickups

Lecture 9: Perform Pair wise Analysis to figure out Rush !

Lecture 10: How to Automate Your Analysis

Chapter 4: Project 2–>> Bitcoin Data Analysis

Lecture 1: Datasets & Resources

Lecture 2: Lets Read data & perform basic Descriptive analysis !

Lecture 3: Doing Data Pre-processing !

Lecture 4: Analysing change in price of the Bitcoin overtime !

Lecture 5: Analysing Bitcoin prices using Candle-stick chart

Lecture 6: Analysing closing price in-depth !

Lecture 7: Perform Analysis on closing Price on Yearly , Quarterly & monthly basis !

Lecture 8: Analysing Daily change in Closing price of stocks

Chapter 5: Project 3–>> Amazon Customers Data Analysis

Lecture 1: Datasets & Resources

Lecture 2: How to Read Data from SQLite Database.

Lecture 3: Data Preparation !

Lecture 4: How Amazon recommend product

Lecture 5: Analysing which product has good number of Reviews ?

Lecture 6: Understanding Behaviours of Amazon Users !

Lecture 7: Analysing your frequent Users !

Lecture 8: Perform Sentiment Analysis on Data.

Chapter 6: Project 4–>> Hotel Booking Data Analysis

Lecture 1: Datasets & Resources

Lecture 2: Lets read Data

Lecture 3: Doing Data cleaning !

Lecture 4: Performing descriptive analysis !

Lecture 5: Perform Spatial Analysis on Guests Home-Town

Lecture 6: Analysing Difference between assigned and reserved room types !

Lecture 7: which market segment has highest bookings ?

Lecture 8: Understanding Pattern in guests arrival !

Lecture 9: Analysing distribution of guests arrival

Chapter 7: Project 5–>> Covid-19 Data Analysis

Lecture 1: Datasets & Resources

Lecture 2: Prepare your Data for the Analysis

Lecture 3: Analysing Total cases, Deaths, Recovered & active cases

Lecture 4: Perform EDA on Data

Lecture 5: Analysing those countries that gets badly affected by Corona

Lecture 6: Perform In-depth Analysis on Data

Lecture 7: Automate Your Analysis

Chapter 8: Bonus Session

Lecture 1: Bonus Lecture

Instructors

Shan Singh
Top Rated & Best-Selling Udemy Instructor , Data Scientist

Rating Distribution

1 stars: 14 votes

2 stars: 18 votes

3 stars: 113 votes

4 stars: 338 votes

5 stars: 499 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!