Data Analytics Real-World Projects in Python from Udemy

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

Student Testimonials:

Excellent Course for Data Analytics Real World Projects.. specially in Python. Recommended Course for those who want to start or transform their career in Data Analytics- Alokkumar Mahato
nice course, easy to understand lectures. Shan Singh was quick to respond to my questions too. i feel more confident compiling my portfolio now - Burutolu Q
I love how in 6 projects I went to 0 to 100% of knowledge of how to use some libraries and how to interpretate the results . Also all my questions were answered . Amazin course 110/100 - María Fernanda Villegas CascoU
The course was really helpful in learning data cleaning, data manipulation and data visualization. Newer library of plotly was something very new to me. while practizing with the dataset I got to know the pros of using plotly (simple, clear and interactive plots). Overall the coverage of the course with dataset from various industries and their problem set was very comprehensive and I think would match the industry scenario well. Also, I learned a whole new plethora of methods that are being called on class objects which I wasn't familiar with before taking this course.Thanks for your support in Q&A as well.- Abhishek Gajbhiye

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 Analytics 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 Analysis or as a replacement for Excel, then this course is a perfect match.

Why should you take this Course?

It explains Projects on real Data and real-world Data Science/Data Analytics Problems. 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 Analytics , Machine Learning and Data Presentation.
Professionals who are exposed to data but can't yet leverage its power
Product managers who want to make data-driven decisions
It gives you plenty of opportunities to practice and code on your own. Learning by doing.

In real-world Data Analytics 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 conclusion using various Data Visualisation

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

What's inside

Learning objectives

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
Learn how to work with various data within python, including: excel data,geographical data,text data and time series data data

Be able to create in depth analyses with pie charts, bubble charts, wordcloud and even geographical maps.
You will expertise in pandas ,seaborn, matplotlib ,plotly ,folium, geopy, wordcloud and many other..
Solve any problem in your business, job or in real-time with powerful data analysis libraries

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
Learn how to work with various data within python, including: excel data,geographical data,text data and time series data data
Be able to create in depth analyses with pie charts, bubble charts, wordcloud and even geographical maps.
You will expertise in pandas ,seaborn, matplotlib ,plotly ,folium, geopy, wordcloud and many other..
Solve any problem in your business, job or in real-time with powerful data analysis libraries

Syllabus

Welcome to this Course !!

Introduction & Course Benefits

Utilize QnA of the course ( Golden Oppurtunity ) !

How to follow this course-Must Watch

Pre-requisites (Anaconda Python & Jupyter install & Set-up)

Quick Summary of Jupyter Notebook

Introduction to Life-Cycle of Data Analytics Project

First Stage : Business Understanding in Real World

In this tutorial , we will learn how to Perform ETL pipeline in real world Projects?

Third Stage : EDA(Exploratory Data Analysis) + Conclusions

Project 1->> Text Data Analysis ( Youtube Case-study )

Overview of Problem Statement

Download Dataset & Notebook

In this session , we will understand how u can read data using Pandas which is a data manipulation package !

Performing Sentiment Analysis !

Perform Wordcloud Analysis !

How to Perform Emoji's Analysis !

Collect Entire data of Youtube : Data Collection

How to export your data into csv , json , databases etc.

Analysing the most liked category !

Lets Analyse whether audience is engaged or not !

Analyzing trending videos of Youtube !

Does Punctuations have an impact on views, likes, dislikes ?

Project 2->> Time Series Project ( S&P 500 Stock Market case-study )

Collecting Various Stock Data : Data Collection

Analysing change in price of the stock overtime !

Analysing moving average of the various stocks !

Observing Closing price change in Apple stock !

Performing resampling Analysis ..

Perform Multi-Variate Analysis to understand co-relation

Performing Co-relation Analysis

Project 3->> Geospatial Analysis Project (Zomato Case-Study)

Read data from SQL database !

How to deal with missing values ?

Analysing relation relation between online order and rating !

How to do Text Cleaning !

Perform Unigram analysis

Performing Bi-gram & Trigram analysis on data !

Lets Extract geographical-coordinates from data

Lets Perform Spatial Analysis

How to automate your Data Analysis

Project 4->> Sales Data Analysis ( E-commerce Case-study )

how to read Feather data !

Analyzing Monthly sales

Analyzing which city has Maximum Order !

Understand What product sold the most & Why ?

Understanding Trend of the most sold product !

Analysing What products are most often sold together ?

Project 5->> IPL Data Analysis (Sports Case-study )

Perform Basic Analysis on IPL

Performing In-depth analyis of Batsman performance

Analysing Toss Decisions across Seasons of IPL

Analysing whether Winning toss implies winning game or not !

Analysing which team have won the tournament most ?

Comparitive Analysis of teams !

Bonus Session

Bonus Section

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Examines Python coding and real-world Data Science/Data Analytics Problems, which is relevant to industry

Taught by Shan Singh, who are recognized for their Data Analytics work

Develops skills and knowledge in Data Analysis, which is a core skill in this field

Covers multiple facets of Data Science/Data Analytics and suits all experience levels

Offers a 30-Days-Money-Back-Guarantee

Requires no prior expertise in Python coding

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Analytics Real-World Projects in Python with these activities:

Join a data analysis study group

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Enhance your understanding through peer collaboration by joining a data analysis study group.

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Find a study group or create one with fellow learners.
Set regular meeting times to discuss course material.
Work together on data analysis projects and assignments.

Create a Python library cheat sheet

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Enhance your recall and accessibility of Python libraries by creating a comprehensive cheat sheet.

Browse courses on Python Libraries

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Identify essential Python libraries for data analysis.
Summarize key functions and syntax for each library.
Organize the cheat sheet for quick reference.

Read 'Python Data Science Handbook' by Jake VanderPlas

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Supplement your coursework by reviewing a comprehensive reference book on Python data science.

View Python Data Science Handbook: Essential Tools... on Amazon

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Read selected chapters or sections relevant to the course topics.
Take notes and highlight important concepts.
Apply the knowledge gained to your data analysis projects.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Build a data pipeline using Python libraries

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Reinforce your understanding of data analytics by applying Python libraries to build a comprehensive data pipeline.

Browse courses on Python Libraries

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Choose a dataset and define the project scope.
Install necessary Python libraries.
Load and explore the data.
Clean and preprocess the data.
Build the data pipeline using Python libraries.

Explore data visualization techniques with Plotly and Seaborn

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Enhance your data analysis skills by mastering data visualization techniques using Plotly and Seaborn.

Browse courses on Data Visualization

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Identify the appropriate visualization technique for different types of data.
Create interactive visualizations using Plotly.
Generate statistical plots using Seaborn.
Customize and refine visualizations for effective data storytelling.

Solve data analysis problems using Pandas

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Deepen your grasp of data analysis concepts by solving challenging problems using Pandas.

Browse courses on Pandas

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Import and load data into Pandas dataframes.
Perform data cleaning and preprocessing operations.
Manipulate and transform data using Pandas methods.
Apply statistical functions and aggregations on data.

Contribute to an open-source data analysis project

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Sharpen your skills and connect with the community by contributing to an open-source data analysis project.

Browse courses on Open Source

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Identify an open-source project that aligns with your interests.
Review the project's documentation and codebase.
Identify areas where you can contribute, such as bug fixes or feature enhancements.
Submit a pull request with your contributions.

Career center

Learners who complete Data Analytics Real-World Projects in Python will develop knowledge and skills that may be useful to these careers:

Data Analyst

A Data Analyst takes data, interprets it, and creates reports and presentations based on their findings. To succeed in this position, you must learn how to gather, clean, and analyze data. You must have programming and machine learning expertise, and you must be able to communicate your findings effectively. The course Data Analytics Real-World Projects in Python will be particularly valuable for you because it will introduce you to common data analysis tasks and tools you may use in a professional setting.

See salaries and explore the career path for Data Analyst

Data Scientist

A Data Scientist gathers and analyzes data, develops models, and predicts future trends. While similar to data analysis, data science deals with much more complex and structured data sets. To succeed in this position, you need to have a strong foundation in programming, mathematics, and statistics. The course Data Analytics Real-World Projects in Python will be particularly valuable to you because it will introduce you to common data science tools and tasks you may use in a professional setting.

See salaries and explore the career path for Data Scientist

Business Analyst

A Business Analyst examines data to identify trends that a company can use to improve its profits or market share. You will collect, review, and present data, which will be used to guide decision-making. To succeed in this role, you typically need a bachelor's degree as well as an analytical and critical mindset. The course Data Analytics Real-World Projects in Python will be particularly valuable for you because it will teach you how to organize your findings into usable reports and presentations.

See salaries and explore the career path for Business Analyst

Statistician

A Statistician collects, analyzes, and interprets data. You will often use this data to provide insights and guidance to businesses and organizations. To succeed in this field, you need to have a strong foundation in mathematics, statistics, and data analysis. The course Data Analytics Real-World Projects in Python may be particularly useful to you because it will introduce you to many of the programming tools you will use as a statistician.

See salaries and explore the career path for Statistician

Market Researcher

A Market Researcher collects and analyzes data about a company's customers and competitors. To do so, you may conduct surveys, interviews, and focus groups. The data you collect will be used to develop marketing campaigns and strategies. To excel in this role, you need to be able to communicate effectively and think analytically. The course Data Analytics Real-World Projects in Python may be particularly useful to you because it will introduce you to the statistical principles behind data analysis.

See salaries and explore the career path for Market Researcher

Financial Analyst

A Financial Analyst collects and analyzes data to evaluate companies for potential investment. To be successful, you need to be able to understand and interpret complex financial data. You typically need a bachelor's degree in finance or a related field. The course Data Analytics Real-World Projects in Python may be particularly useful to you because you will learn how to use Python to automate your data analysis tasks.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

An Operations Research Analyst analyzes data to improve the efficiency of business operations. To do so, you will use your knowledge of operations research, mathematics, and programming. You typically need a master's or doctoral degree in operations research or a related field. The course Data Analytics Real-World Projects in Python may be particularly useful to you because it will allow you to practice using analytical tools.

See salaries and explore the career path for Operations Research Analyst

Software Engineer

A Software Engineer designs, develops, and tests computer software. To do so, you will need knowledge of computer science fundamentals, as well as programming and software development tools. Typically, you will need a bachelor's degree in computer science or a related field. The course Data Analytics Real-World Projects in Python may be useful to you because it will introduce you to data structures and algorithms as well as different programming languages.

See salaries and explore the career path for Software Engineer

Web Developer

A Web Developer designs, builds, and maintains websites. To do so, you will need knowledge of web design principles and tools, as well as programming and software development tools. Typically, you will need a bachelor's degree in computer science or a related field. The course Data Analytics Real-World Projects in Python may be useful to you because it will introduce you to programming languages as well as data structures and algorithms.

See salaries and explore the career path for Web Developer

Data Architect

A Data Architect designs and manages data systems and databases. To do so, you will need knowledge of data architecture principles and tools, as well as programming and software development tools. Typically, you will need a bachelor's degree in computer science or a related field. The course Data Analytics Real-World Projects in Python may be useful to you because it will introduce you to data structures and algorithms as well as different programming languages.

See salaries and explore the career path for Data Architect

Data Engineer

A Data Engineer designs, builds, and manages data pipelines and systems. To do so, you will need to have knowledge of data engineering principles and tools, as well as programming and software development tools. Typically, you will need a bachelor's degree in computer science or a related field. The course Data Analytics Real-World Projects in Python may be useful to you because it will introduce you to data structures and algorithms as well as different programming languages.

See salaries and explore the career path for Data Engineer

Machine Learning Engineer

A Machine Learning Engineer designs, builds, and deploys machine learning models. To do so, you'll need a strong foundation in machine learning principles as well as programming and software development tools. Typically, you will need a bachelor's or master's degree in computer science or a related field. The course Data Analytics Real-World Projects in Python may be useful to you because it will introduce you to data structures and algorithms as well as different programming languages.

See salaries and explore the career path for Machine Learning Engineer

Information Security Analyst

An Information Security Analyst protects information systems and networks from cyberattacks. To succeed in this role, you need a strong understanding of information security principles and tools. Typically, you will need a bachelor's degree in computer science or a related field. The course Data Analytics Real-World Projects in Python may be useful to you because it will introduce you to data structures and algorithms as well as different programming languages.

See salaries and explore the career path for Information Security Analyst

Quantitative Analyst

A Quantitative Analyst develops and uses mathematical and statistical models to analyze and predict financial trends. To succeed in this role, you need a strong foundation in mathematics, statistics, and computer science. Typically, you will need a master's degree in quantitative finance or a related field. The course Data Analytics Real-World Projects in Python may be useful to you because it will introduce you to data structures and algorithms as well as different programming languages.

See salaries and explore the career path for Quantitative Analyst

Computer Scientist

A Computer Scientist designs, develops, and analyzes computer systems and software. To succeed in this role, you need a strong foundation in computer science principles and a love of programming. Typically, you will need a bachelor's degree in computer science or a related field. The course Data Analytics Real-World Projects in Python may be useful to you because you will learn more about data structures and algorithms as well as different programming languages.

See salaries and explore the career path for Computer Scientist