30
Jun 2020

Data Science With Python(E-Learning)

Course Information

Start Date30 Jun 2020, Tuesday
End Date30 Jun 2020, Tuesday
Time09:00 am to 05:00 pm
VenueOnline
Fee$780 (Excluding GST), Inclusive of e-certificate, e-materials
Contact6720 3333 (Ms Rina) training.aventis@gmail.com
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LIVE Stream

In Partnership with Simplilearn

This is an ONLINE course. Participants are able to access to the online course upon completion of registration.

Once activated, the licenses will be valid for ONE YEAR from the date of activation.

Course Overview

The Python Data Science Course teaches you to master the concepts of Python programming. Through this Python Data Science training, you will gain knowledge in data analysis, Machine Learning, data visualization, web scraping, and Natural Language Processing. Upon course completion, you will master the essential tools of Data Science with Python.

Eligibility

The demand for Data Science professionals has surged, making this course well-suited for participants at all levels of experience. This Data Science with Python training is beneficial for analytics professionals willing to work with Python, software and IT professionals interested in the field of analytics, and anyone with a genuine interest in Data Science

Pre-requisites

To best understand the Data Science with Python course, it is recommended that you begin with the courses including, Python Basics, Math Refresher, Data Science in Real Life, and Statistics Essentials for Data Science. These courses are offered as free companions with this program.

Course Content

 

            • Lesson 00 – Course Overview

            • Lesson 01 – Data Science Overview

            • Lesson 02 – Data Analytics Overview

            • Lesson 03 – Statistical Analysis and Business Applications

            • Lesson 04 – Python Environment Setup and Essentials

            • Lesson 05 – Mathematical Computing with Python (NumPy)

            • Lesson 06 – Scientific computing with Python (Scipy)

            • Lesson 07 – Data Manipulation with Pandas

            • Lesson 08 – Machine Learning with Scikit–Learn

            • Lesson 09 – Natural Language Processing with Scikit Learn

            • Lesson 10 – Data Visualization in Python using matplotli

            • Lesson 11 – Web Scraping with BeautifulSoup

            • Lesson 12 – Python integration with Hadoop MapReduce and Spark

            • Practice Projects