infyni

Live Python for Data Analysis & Visualization

Live Python for Data Analysis & Visualization teaches you how to use Python to analyze, visualize and present data. Having a live instructor guide you through the course and helping you with difficulties makes learning Python very simple and easy.

Live Course

Live Class: Wednesday, 06 Mar

Duration: 15 Hours

Enrolled: 1

Offered by: infyni

Live Course
$375 20% off

$300

About Course

Though it hasn’t always been, Python is the programming language of choice for data science. In 2018, Python held 65.6% of the data science market. This is only expected to increase in the coming years.

In Live Python for Data Analysis & Visualization, your instructor teaches you how to analyze data using Python. The Live Python for Data Analysis & Visualization 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.

By learning Live Python for Data Analysis & Visualization with others, you will be joining a community of like-minded people which increases your opportunities for employment. Employee referrals account for almost 30% of all hires, say studies. 

Our trainers make classes interesting for you with their hands-on teaching. Small Python projects for beginners included in your live course could be: 

  • Tracking and analyzing your personal spending habits is a fun project to practice Python 
  • Analyzing data from a survey is another hands-on project 
  • Programming calculators for an online game

Learning with live trainers helps make it easier. Join us for a free trial and take advantage of our special Summer 2023 offers. 


Skills You Will Gain

Python Programming Data Virtualization Data Visualization (DataViz) Matplotlib

Course Offerings

  • Instructor-led interactive classes
  • Clarify your doubts during class
  • Access recordings of the class
  • Attend on mobile or tablet
  • Live projects to practice
  • Case studies to learn from
  • Lifetime mentorship support
  • Industry specific curriculum
  • Certificate of completion
  • Employability opportunity
  • Topics
  • Instructor
  • Will use python 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
  • Will learn to use Pandas DataFrames, Numpy multidimensional arrays, and SciPy libraries to work with various datasets.
  • introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets.
  • We will use some of machine learning algorithms to build smart models and make cool predictions.
  • We will see how to Import Datasets Understanding the Domain,
  • Understanding the Dataset , Python package for data science ,Importing and Exporting Data in Python
  • Cleaning and Preparing the Data ,Identify and Handle Missing Values
  • Data Formatting , Data Normalization Sets , Model Development, Simple and Multiple Linear Regression , Model Evaluation Using Visualization
  • Learning how to leverage a software tool to visualize data will also enable you to extract information
    Understand the data, and make more effective decisions.

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