Course Description

Python Data Analysis & Visualization Bootcamp Udemy Free Download

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

What you'll learn:

Python and Tableau: The Complete Data Analytics Bootcamp!

  • In this course, you’ll learn how to use Python for data cleaning and analysis and Tableau for data visualization to grasp the inner workings of the data analytics pipeline.
  • You need to have the ability to write in Python and run code.
  • Tableau allows you to create interactive charts and dashboards.
  • To apply for data analytics positions, create a portfolio of three real-life Python or Tableau projects.
  • Learn how to use Pandas, Numpy, Matplotlib, and other Python libraries to do data analytics.


  • If possible, have a basic understanding of computers and the internet, as well as Microsoft Excel.


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 Fundamentals

  • Pandas for Efficient Data Analysis

  • NumPy for High Speed Numerical Processing

  • Matplotlib for Data Visualization

  • Pandas for Data Manipulation and Analysis

  • Seaborn Data Visualization

  • Worked-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 sets

  • Clean and prepare data for analysis

  • Manipulate pandas DataFrame

  • Summarize data

  • Build machine learning models using scikit-learn

  • Build data pipelines

Data 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.

This course includes:

Course Specifications:

  • Free Demo
  • 100% job Assistance
  • Flexible Timing
  • Realtime Project Work
  • Learn From Experts
  • Get Certified
  • Place your career
  • Reasonable fees
  • Access on mobile and Tv
  • High-quality content and Class videos
  • Learning Management System
  • Full lifetime access


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