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Data Science with Python Training Course

Data Science with Python

  • $500.00
  • 10 hours
  • Beginner
  • Instructor Led Online Training
  • Data Science with Python training course

Course Overview

This course will help you to learn the concepts and tools to utilize in a data science project.

In this heavy demo-based course, we shall teach you a practical approach to develop an end-to-end data science project cycle right from extracting data from different types of sources to exposing your machine learning model that can be consumed in a real-world data solution. We will teach an industry standard approach on data science project using Python.

The students will learn to use various standard libraries in the Python ecosystem such as Pandas, NumPy, Matplotlib, Scikit-Learn, Flask to tackle different stages of a data science project such as extracting data, cleaning and processing data, building and evaluating machine learning model.

After the completion of the course, the students will have a solid foundation to handle any data science project and have the knowledge to apply various Python libraries to create a data science solution.

Following topics are included in this course:

  • Python for Data Science - Introduction
  • Setting up Working Environment
  • Extracting Data from multiple sources
  • Data Cleansing and pre processing
  • Exploring and Processing Data
  • Building and Evaluating Predictive Models

Skills Required

This course is suitable for those who already have basic knowledge of Python programming. Our Python Programming for Beginners Training Courses cover all of the prerequisites.

Booking Request

Do you have a special training requirement or unable to find any suitable training date? Please complete and submit the booking request form, if you want to:

  • book a course on different dates
  • book for a group of delegates
  • book corporate training
  • book a customised training
  • book a one-on-one training

The price person is less when you book a course for more people. You can find the price per person and the total cost by changing the values of the training hours and the number of people below:

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  1. Python for Data Science - Introduction
  2. Setting up Working Environment
  3. Extracting Data from multiple sources
  4. Data Cleansing and pre processing
  5. Exploring and Processing Data
  6. Building and Evaluating Predictive Models
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Jayan Karmacharya

Jayan is an Experienced Web Developer and IT tutor with over 10 years of experience in Server side programming, front-end development, database design, web server management and, IT instruction. Having Master of Science in Information Technology Degree and Microsoft certified Programming in HTML5 with JavaScript and CSS3.

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Priyanka Sharma

Priyanka has around 14 years of experience in software development, testing and mentoring freshers & experienced professionals. She is an Oracle Certified OCJP SE7,SE6 and SE5 professional. She is also ISTQB certified engineer. She has done her masters and also holds an engineering degree. She also has rich experience with python and android development. She has worked in IT industry across multiple domains (Telecom - British Telecom), Healthcare(Medicare and Medicaid) and Banking.

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