Overview

An introduction to Python, Data Science and Big Data, plus a deep introduction to the major Big Data technologies for the practitioners working with them.

This 5-day course is ideal for people who are currently working as software engineers with data, or in business intelligence, looking for a level-up to the next stage of large data analysis skills and contemporary patterns of Data Science.

You will learn how to work and model large sets of data and understand the statistical mathematical models behind it. You'll also work with SQL and NoSQL trends and understand how to create an effective hypothesis-approach way of working with data and discerning really measurable statistical outcomes.

Target Audience

Practitioners of data analysis and fledging data scientists who wish to leverage Big Data technologies such as NoSQL databases, Hadoop and Spark.

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Prerequisites

  • Basic knowledge of data base architecture and SQL
  • Basic knowledge in programming: variables, flow and scope and functions
  • Prior experience of working with data
  • Experience with Python or other scripting languages such as Perl will be an advantage
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Learning Outcomes

At the end of this course attendees will know:

  • Fundamentals of Data Science
  • Fundamentals of Machine Learning
  • Fundamentals of Python programming
  • Python's data and numerical packages
  • How to visualise data using Python
  • Different data models
  • What is a NoSQL database, how is it different from a (traditional) Relational Database
  • What is Hadoop
  • What is Spark

At the end of this course attendees will be able to:

  • Write Python programs to manipulate data
  • Use Python to visualise data
  • Query graph databases Neo4j
  • Query column store database Cassandra
  • Query document based database MongoDB
  • Use Hadoop and Spark
  • Use Python Machine Learning libraries to perform predictive analysis
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Course Outline

  • Introduction to Data Science
  • Data Mining and Machine Learning
  • Data Models
  • NoSQL
  • Introduction to Python
  • Python and Data
  • Python Databases and SQL
  • Data Science and Numerical Python
  • MongoDB
  • Neo4j and Graph Analytics
  • Functional Programming ​​
  • Hadoop and Ecosystem
  • Spark MapReduce
  • Spark SQL
  • Python Machine Learning
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Dates & Locations

Data, Analytics & AI learning paths

Want to boost your career in data, analytics and AI? Click on the roles below to see QA's learning pathways, specially designed to give you the skills to succeed.

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Frequently asked questions

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How can I create an account on myQA.com?

There are a number of ways to create an account. If you are a self-funder, simply select the "Create account" option on the login page.

If you have been booked onto a course by your company, you will receive a confirmation email. From this email, select "Sign into myQA" and you will be taken to the "Create account" page. Complete all of the details and select "Create account".

If you have the booking number you can also go here and select the "I have a booking number" option. Enter the booking reference and your surname. If the details match, you will be taken to the "Create account" page from where you can enter your details and confirm your account.

Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.

How do QA’s virtual classroom courses work?

Our virtual classroom courses allow you to access award-winning classroom training, without leaving your home or office. Our learning professionals are specially trained on how to interact with remote attendees and our remote labs ensure all participants can take part in hands-on exercises wherever they are.

We use the WebEx video conferencing platform by Cisco. Before you book, check that you meet the WebEx system requirements and run a test meeting (more details in the link below) to ensure the software is compatible with your firewall settings. If it doesn’t work, try adjusting your settings or contact your IT department about permitting the website.

Learn more about our Virtual Classrooms.

How do QA’s online courses work?

QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course. When you book a QA online learning course you will receive immediate access to it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.

All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.

Learn more about QA’s online courses.

When will I receive my joining instructions?

Joining instructions for QA courses are sent two weeks prior to the course start date, or immediately if the booking is confirmed within this timeframe. For course bookings made via QA but delivered by a third-party supplier, joining instructions are sent to attendees prior to the training course, but timescales vary depending on each supplier’s terms. Read more FAQs.

When will I receive my certificate?

Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.

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