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Data Analytics: Transform

Start a highly sought-after Data Analytics career with access to practical projects, expert mentoring and 1:1 career coaching.

Course overview

JOB OUTCOMES REPORT

97% job placement success

This report includes data for 136 students who actively participated in our Career Support Program this financial year. 132 of the 136 active participants successfully landed roles, giving the program a success rate of 97%.

What you’ll learn in this course

Week 1 - 6

Learn essential data skills using Python & SQL, and complete a practical project in Week 6.

Week 7-15

Understand the significance of statistics and data modelling, with your final two projects and industry showcase starting in Week 13.

Career Support Program

Build your job search strategy, create a powerful CV and prepare for interviews.

Python is a powerful part of the data scientist’s toolbox as it can handle massive amounts of data, automate reporting, and connect to databases seamlessly. Learn and use basic Python programming to manipulate and clean data and create impactful visualisations.

  • Python essentials
  • Python loops & functions
  • Statistical measures
  • Data visualisation
  • Working locally on your machine
  • Bash and GIT
  • Data analysis in base Python

Learn how to collect data from the web using web scraping and APIs. Load and clean data using Pandas, a popular python library. Use SQL, the top language for data work to organise data and perform operations on it.

  • Data analysis in Pandas
  • Data cleaning in Pandas
  • Working with APIs
  • Web scraping
  • Getting started with SQL
  • SQL table relations

Work in groups to analyse the pizza market of NYC and make business recommendations.

Use inferential statistics to make inferences about the population based on sample data, by testing hypotheses and deriving estimates.

  • Probability
  • Statistical distributions
  • Central limit theorem and confidence intervals
  • Hypothesis testing
  • Statistical power and ANOVA
  • A/B testing

Regression modelling is all about making predictions about the future, based on past data and behaviour. Learn how to exploit patterns found in historical and transactional data to identify risks and opportunities.

  • Introduction to linear regression
  • Multiple linear regression and model validation
  • Extension to linear models

Work in pairs to source your own data, using APIs and/or externally sourced CSVs. Once you’ve collected your data set, you’ll run hypothesis tests, AB tests, and/or regression analysis on it.

Go solo on your final capstone project, which brings together everything you have learned in the course. You’ll source data, prepare it for modelling and perform a regression analysis.

Present your completed project to your course Mentor, peers and a panel of Industry Experts, who will review your work and provide feedback. Use your industry showcase to build your network in the data community.

See projects that other learners have worked on

Our Software Engineering Transform courses include five assessment projects that help you build an impressive portfolio.

Why study Data Analytics at Academy Xi?

  • Mentoring & support
  • Practical experience
  • Community connection

Fees & payment options

We offer a range of flexible payment options so you can achieve your goals today, and pay at your own pace.

No deposit

Study Now, Pay Later

Choose weekly, fortnightly or monthly repayments over a repayment term of up to 36 months, with no deposit and 100% interest-free.

PAYMENTS

From $55/week

10% DISCOUNT

Pay upfront

Pay for your course upfront to receive a 10% discount on the full amount, and be eligible for any additional special offers.

TOTAL COST OF COURSE

$TBC $TBC

Interest-free payment plan

Payment Assist

Convenient payment plans that break up your course repayments into smaller chunks, 100% interest-free.

INSTALMENTS

From $100/week

Student success stories

4.6 star rating on Google

Our students come from different walks of life and have supercharged their careers, landing coveted jobs in the Design, Tech, and Marketing fields.

With a passion for problem solving and an eye for detail, Jocelyn is a perfect match for a career in Data Analytics. Find out how the Data Analytics: Transform has helped Jocelyn go from complete beginner to industry-ready in just 15 weeks.
Read Jocelyn Fisher’s story
Kanako is a recent graduate of our Data Analytics: Elevate course. After 14 years in accounting, Kanako upskilled and moved internally into a new data analysis role that she’s really passionate about. Read on to find out about Kanako’s Academy Xi experience and how she managed to land an exciting new role auditing and analysing data in her company’s cost control department.
Read Kanako Chapman’s story

From Salesperson to Software Engineer

After a few years of trying to crack the art of coding, Ryochi joined the Software Engineering: Transform course. Find out how Ryochi’s passion for programming developed and how the course helped him land an exciting new full-stack developer role with Moonward.
Read Ryochi Tanaka’s story

Frequently asked questions on Data Analytics

Frequently asked questions

Data Analytics is the process of sourcing, cleaning and analysing raw data to identify meaningful patterns, trends and insights. Insights extracted from data can be used to find answers to all kinds of questions, and solutions for even the trickiest problems.
Data Analytics helps us understand the effects of what we’ve been doing, what we could be doing, and any probable outcomes that come with a new course of action. At its core, data analytics tells us what to do next. The ultimate aim is to use hard facts to make well-informed decisions that help a project reach its goals.

Many businesses have a wealth of raw data at their fingertips, but translating it into actionable insights is easier said than done. Data Analytics helps a business tap into a vital resource and better understand its products, customers and competitors, as well as its own operational procedures and capabilities. Armed with this knowledge, businesses are able to identify inefficiencies and opportunities. Because data is not an opinion or a theory, it can act as an impartial source of truth when making important decisions.

Academy Xi has leveraged curriculum from New York based tech education provider, Flatiron School, to bring you the Data Analytics: Transform course.
Flatiron School has an impressive track record of delivering quality education since 2012. They have successfully graduated over 2,500 students and have won multiple awards for their proprietary tech education programs.

Our online courses come in three formats. No matter your learning preferences, work or life commitments, or support levels you require – we’ve got you covered. To choose the right course format, pick your desired career outcomes:
  • Are you studying to transform your career? Our TRANSFORM courses will equip you with the latest industry skills and have you graduating job-ready, with an included Career Support Program.
  • Do you want to complement your existing skillset? Our ELEVATE courses will expand your expertise in a social and supported environment.
  • Do you just want to learn the fundamentals? Quench your curiosity, at your own pace with our FOUNDATIONS courses.

In this course you’ll experience our ‘flipped classroom’ style of learning, where students cover course content independently before coming together to discuss concepts, ask questions and collaborate with mentor support. You’ll learn through a combination of:

  • readings
  • pre-recorded videos
  • regular live sessions with your mentor and peers
  • 1:1 sessions with your mentor
  • hands-on activities and practical project work
  • Q&A via chat and discussion boards

Get the complete course guide

Our in-depth course guide has all the information you need.

Have any unanswered questions?

One of our in-house course advisors will get in touch with you directly.

Download course guides

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