Python Data Analysis & Visualization Bootcamp (Udemy.com)

Financial Data Analysis and Visualization with Python: The HighQuality Study kit

( 309 Reviews )

Created by: Python Data Analytics Data Science

Produced in 2021

What you will learn

Perform Data Analytics seamlessly and smartly

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 96 / 100

Course Description

Welcome to Data Analysis Analytics Bootcamp content powered by TakenMind. Are you interested to learn how zetabytes of data are processed by top tech companies to analyse data inorder to boost their business growth? Well, for a beginner you are at the right place and this is the most probably the right time for you to learn this.
The average data scientist today earns $123,000 a year, according to Indeed research. But the operating term here is today, since data science has paid increasing dividends since it really burst into business consciousness in recent years.
This course has its base on financial Analysis and the following concepts are covered:
Python FundamentalsPandas for Efficient Data AnalysisNumPy for High SpeedNumerical ProcessingMatplotlib for Data VisualizationPandas for Data Manipulation and AnalysisSeaborn Data VisualizationWorked-up examples.
Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!
You will learn how to:
Import data setsClean and prepare data for analysisManipulate pandas DataFrameSummarize dataBuild machine learning models using scikit-learnBuild data pipelinesData Analysis with Python is delivered through lecture, hands-on labs, and assignments. It includes following parts:
Data Analysis libraries: will learn to use Pandas DataFrames, Numpy multi-dimentional arrays, and SciPy libraries to work with a various datasets. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions.
Who this course is for:
Beginner Python Data Analyst should take up this course.
Intermediate Python Data Analyst should take up this course.

Time: 8h

Instructor Details

Python Data Analytics Data Science

4.8 Rating
309 Reviews

The author of the course is an emerging data scientistwho hadgraduatedfrom a prestigious Indian University. He has worked in the field of analytics for the past fewyears and has shared his knowledge of the same. He has also worked as data analystat Ernst & Young and also has chosen a professional carrier as analyst forglobal MNCs

Reviews

4.8

309 total reviews

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Write a Review

By Mars Lozano on 11/7/2020

No, tengo que buscar en YouTube como instalar los programas para MAC Catalina, o tengo que buscar en otras partes cosas tan sencilas como cmo cerrar jupyter notebooks o como aadir, borrar, y otros hacks. Va de complicado a ms fcil el curso. O no s si as quiere ser.

By Anto Lourdu Xavier Raj. A on 10/26/2020

In this course I refreshed my basic concepts in Google Analytics and learned the unknown concepts. I am very much satisfied and excited after completion of this course in an much orderly manner

By Dare Osilaja on 10/25/2020

Yes, so far, my python skills have been highly improved

By Anthony Kumah on 10/25/2020

This course was a very good match for me. I enjoyed watching the videos and practiced step by step. I would have loved that more tutorials were done with practice materials made available.
But all in all, it was a good experience.

By Debajeet Roy on 10/23/2020

The course broadly focused on giving us an in depth knowledge about the libraries present in Python which are very useful when it comes to Data Analysis as well as Data Visualization.

By Jeysri L S on 10/22/2020

The concepts were amazing, I could learn data visualization easily and apply the learned skills for building projects.
The modules helped me upskill my profile.

By Kajol Singh on 10/20/2020

VERY INFORMATIVE, THANK YOU

By Wasia Mujawar on 10/19/2020

This course really helped me learn so much about the most interesting programming language python! It is so much fun when you get things taught in fun way and this course is exactly what you needed ! UDEMY is the best platform to gain knowledge for the ones who are are looking out for some basics as well as extraordinary knowledge gaining . Thanks to my TakenMind team for letting me learn from udemy and understanding it so that i could complete their assignments on time! GREAT knowledge gain , thanks to my TakenMind and Udemy for helping me !

By sarthak aggarwal on 10/17/2020

I had no prior knowledge before starting this course on data analysis using python but it teaches usage of different libraries ,functions and also about concepts like data frame manipulation ,building regression models ,etc .It is perfect for beginner level.

By Romit Sen on 10/15/2020

A good course to kickstart your career in the field of Data Analytics!

By Saptarshi Biswas on 10/15/2020

This is a very good course. I liked it very much. It helps me to study the data analysis.Lot of things I learned . Thank you so much Takenmind to give the opportunity to learn all the concepts of data analysis , like - numpy,pandas etc.... . Thanks a lot.

By Piyush Thangan on 10/14/2020

Having completed this course, I have gained a solid foundation of analytics and can now move to more advanced analysis using machine learning . I believe my strong analytical skills and keen attention to detail will help me move towards my goal.