Short course on Data Science with Python Course level: Beginner
Total Duration: 10 Hours
Delivery Method: Instructor Led Classroom Training
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

Certification:
Certificate of Completion will be provided after completing the course

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.

Course Dates, Prices & Enrolment

Training MethodDatesPriceEnrol
Classroom Training 06 Jan 2019 - 13 Jan 2019
2 Sundays
£220Enrol Now
Classroom Training 06 Feb 2019 - 27 Feb 2019
4 Wednesdays
£220Enrol Now
Classroom Training 10 Mar 2019 - 17 Mar 2019
2 Sundays
£220Enrol Now
Classroom Training 04 Apr 2019 - 25 Apr 2019
4 Thursdays
£220Enrol Now
  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

Course Tutor

The course is working as an independent SQL BI consultant in the UK. He is a specialist consultant for building CI (Continuous Integration) solution for BI projects (SSIS, SSRS). He has considerable years of experience with the UK Financial Services Industry (Mainly in Insurance and Investment Banking). He has been presenting sessions in SQLBits, SQLPass and London SQL Server user Group since 2015.

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