Data Science Bootcamp 2022: 5 Data Science Projects

Data Science is an interdisciplinary field that uses scientific methods, algorithms to extract clean information from raw data for the formulation of actionable insights.

The Data Science field is growing so rapidly, and revolutionizing so many industries.

Data Science has incalculable benefits in business, research, and our everyday lives.

Your route to work, your most recent Google search for the nearest coffee shop, your Instagram post about what you ate, and even the health data from your fitness tracker are all important to different data scientists in different ways.

Sifting through massive lakes of data, looking for connections and patterns, data science is responsible for bringing us new products, delivering breakthrough insights, and making our lives more convenient.

It encompasses a wide range of topics:-

• Fundamentals of Python.

• Python Data Structures.

• Python Functions.

• Python for Data Science.

• Data Cleaning.

• Query Analysis.

• Data Visualizations using Python.

• Statistics and Probability.

• Hypothesis Testing.

• Data Exploration.

Each of these topics are build on the other. You need to acquire all the skills in the right order.

You are at the right place!!!

Welcome to this online resource to learn Data Science Skills.

The Complete Data Science Bootcamp course will really help you to boost your career.

This Data Science Course begins with the most basic level and goes up to the most advanced techniques step by step.

even if you don't know anything in advance, this course will make complete sense to you.

In this  Data Science Course you will learn about the following:-

1. The fundamentals of python programming language:- variables, data types, loops and conditionals.

2. Python data structures:- lists, tuples, dictionaries, sets, stacks, queues.

3. Object-oriented programming in python.

4. Regular Expressions.

5. Numpy library.

6. Pandas library.

7. Grouping and filtering operations for data analysis.

8. Basic and Advanced visualizations.

9. Descriptive statistics.

10. Inferential statistics.

11. Hypothesis Testing.

12. Exploring Dabl and Sweetviz library.

13. Linear Regression theory and practical.

14. Logistic Regression theory and practical.

15. Clustering analysis.

There are lots and lots of exercises for you to practice In this Python Data Science Course and also a  5 Bonus Data Science Project "Player’s Performance Reviewer", "Start-ups Case Study and Analysis", "Movie Recommender Engine", "Global Cost of Living Analysis" and "Customer Segmentation Engine".

In this Player’s Performance Reviewer project, you will analyze the performance metrics of players based on their ground positions, skills, nationality, clubs, age, height, weight, and understanding the major factors driving the performance of these players.

In this Start-ups Case Study and Analysis project, you will analyze the Indian Startups, and Understand the Startup Ecosystems in India to answer some Interesting Questions. Try to find out the Major Investors and Startups.

In this Movie Recommender Engine project, you will get to learn How to analyze a Movie Database to find some useful insights and Recommend Movies.

In this Global Cost of Living Analysis project, you will learn how to perform Geospatial Analysis and understand some major factors determining the quality of life in different cities of the world. And also learn to perform Comparative analysis.

In this Customer Segmentation Engine project, you will divide the customer base into several groups of individuals that share a similarity in different ways that are relevant to marketing such as gender, age, interests, and miscellaneous spending habits.

You will make use of all the topics read in this Python Data Science Course 2021.

You will also have access to all the resources used in this Python Data Science Course 2021.

Instructor Support - Quick Instructor Support for any queries.

Enroll now and become a Data Science professional!!!