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Online Courses Data Analytics Data Analytics with Python: Elevate
self pacedUPSKILL

Data Analytics with Python: Elevate

Pay-in-full online
from $3,150*(RRP $3,500)
Study Now, Pay Later
From $67.31 per week

Level up your existing data skills by learning to code and confidently add Python, SQL and data modelling to your CV.

  • Self-paced
  • 6 months access, 60-80 hours
  • Personal project
  • Up to twelve 1:1 mentor sessions
  • Payment plans available
  • Digital Skills Masterclass Program
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*Save on our Elevate courses when you pay in full!

We’re launching a subscription model for all Elevate courses.

Academy Xi students now have the option to subscribe to our entire range of Elevate courses across all our portfolios for a monthly fee. Use this as a way to gain a wider digital skillset and give yourself an advantage as you compete for roles in the ever-changing employment landscape.

Our graduates are now the driving force behind some of Australia’s most innovative brands

Why choose this course?

Flexible and self-paced

With 6 months access, the speed at which you tackle online course content is up to you. Study at your own pace and fit learning into your busy lifestyle.

Created for Upskillers

Our Elevate courses help you boost your career with sought-after Data Analytics skills. Unlock higher salaries and job growth potential.

What your curriculum looks like

Further develop your Data Analytics skills within 6 months. You’ll work through interactive online course content at your own pace, and have the support of an industry mentor when you need it.

  • Study Area 1
  • Study Area 2
  • Study Area 3

Study Area 1

Python Programming
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
    • Variables and Data Strings
    • Conditionals and Control Flow
    • Using built-in operators and functions

  • Python Loops and Functions
    • Loops
    • Writing functions

  • Statistical measures
    • NumPly library
    • Measures of central tendency
    • Measures of dispersion
    • Covariance and correlation

  • Data Visualisation
    • Creating visualisations using Matplotlib
    • Customising visualisation

  • Data Analysis in base python
    • File input and output in Python
    • Read and extract data from JSON files
    • Read and extract data from CSV files

  • Python Data Analysis project
    • Using JSON and CSV data, you’ll analyse the relationship between the population of a country and its world cup performance.

  • Data Analysis in Pandas
    • Load, access, and describe data using pandas
    • Use descriptive statistics to perform Exploratory Data Analysis

  • Data Cleaning in Pandas
    • Clean, transform, and aggregate data using pandas

Study Area 2

SQL
SQL or Structured Query Language is the top language for data work. To organise your data, you’ll learn about data structures, relational databases, ways to retrieve data, and the fundamentals of SQL for querying structured databases.

  • Getting started with SQL
    • Perform basic SQL queries on a single table, including the use of WHERE and ORDER BY
    • Demonstrate understanding of the parts of a database (row, column, table, relationship, etc)
    • Perform basic CRUD operations in SQL
  • SQL Table Relations
    • Perform joins
    • Use aggregate functions in SQL with GROUP BY
    • Perform advanced queries in SQL including nested queries

Study Area 3

Data Modelling
Understand and practice techniques to prepare data for modelling using simple linear regression.

  • Introduction to linear regression
    • Perform linear regression on a dataset with one predictor using statsmodels
    • Interpret regression output
    • Identify and test the assumptions of simple linear regression models

  • Data Acquisition and Modelling Project
    • Source data using SQL or Pandas and perform simple linear regression to make predictions
    • Present your project to your mentor and peers
    • Receive structured feedback from your mentor

Outcomes

  • Understand the key concepts within data analytics and gain introductory exposure to data science
  • Learn to apply analytics to business problems
  • Query large, structured databases through basic and advanced SQL
  • Understand the role of data visualisation and storytelling
  • Use Python programming to manipulate, organise, clean and visualise data
  • Practice Statistical and Exploratory Data Analysis using Pandas library
  • Perform linear regression analyses
  • Work on a predictive analytics project by acquiring data and building a linear regression model

Need more details about our Data Analytics courses?

Our course guides contain everything you need to know about our Data Analytics courses, including…

  • Topics covered
  • How you’ll learn
  • Course outcomes, and more!
Download course guide

Work 1:1 with an industry expert

All Elevate students have access to an industry mentor as they progress through their course. Your mentor is an expert in the field and can provide insider tips and guidance on-demand.

  • Access up to twelve 1:1 mentor sessions
  • Get ongoing personalised feedback about your work
  • Consult about project decisions and ask questions
  • Interact via a dedicated Slack channel
“What a great 15 weeks! I've fallen in love with Data Analytics because of this course. It was sometimes difficult as a student who was completely new to the language and industry, but the mentor support helped heaps with that aspect. I'm very proud of my achievements and the projects I was able to create, which I can now display in my portfolio!”
Jocelyn Fisher, Data Analytics Transform
Jocelyn Fisher, <a href="https://academyxi.com/online-courses/data-analytics/transform-part-time/">Data Analytics Transform</a>

Why study Data Analytics at Academy Xi?

Industry-aligned content

This course has been built in consultation with experts from VisualNoise Data, so what you’ll learn is always current and industry recognised.

Exclusive Masterclass program

Access a monthly webinar program designed specifically for our self-paced learners. Learn critical digital skills from industry experts, grow your network, and get advice from graduates now working in the field.

Hands-on experience

Get experience retrieving raw datasets, running SQL queries, manipulating data in Excel or Python, and creating data visualisations in Tableau.

Flexible coding options

Choose a level of coding exposure suited to your ambitions, with either a ‘low code’ route using Excel and SQL, or a more advanced coding approach that includes Python and SQL.

Custom analytics project

Bring all of your learnings together at the end of your course, and walk away with a unique dataset project that showcases your new skills.

Learn from the experts

Book up to twelve 1:1 sessions with an industry expert in Data Analytics to discuss course material, get personalised feedback and ask questions.

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 6 months, with no deposit and 100% interest-free.

Weekly repayments from
$67.31/week

PAYMENTS

From $55 /week

Learn more about our Study Now, Pay Later option with ZipMoney

No deposit

Study Now, Pay Later

Choose weekly, fortnightly or monthly repayments over a repayment term of up to 12 months, with no deposit and 100% interest-free

Weekly payments from

$68.92/week

PAYMENTS

From $55 /week

Learn more about Study Now Pay Later

DISCOUNTED

Pay upfront

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

Total cost of course

$3,150

TOTAL COST OF COURSE

$TBC $TBC
0 Start Now Start Now
Learn more about our flexible payments options

Student success stories

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

4.6 star rating on Google

From Accountant to Data Analyst

Kanako Chapman

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.

Kanako Chapman, Data Analytics Elevate

Read Kanako's Story 1 of 3

From Admin to Data Analytics

Jocelyn Fisher

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.

Jocelyn Fisher, Data Analytics Transform

Read Jocelyn's Story 2 of 3

From Physiotherapist to Software Engineer

Barry Nguyen

Startup Founder, Entrepreneur, Advisor — and now Physiotherapist turned Software Engineer — Barry Nguyen proves that curiosity, passion and continuous learning can help you get ahead of the curve.

Barry Nguyen, Software Engineering Transform

Read Barry's Story 3 of 3

Some 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.

Data Analysts rely on a wide variety of tools to be more effective and efficient in their day-to-day work. Some of the handiest tools that Data Analysts use include: 

  • Excel
  • Python Programming
  • SQL
  • Power BI
  • R 
  • Google Colaboratory
  • Google BigQuery
  • Tableau
  • Datawrapper

In this course you’ll experience flexible and self-paced learning, where students cover course content independently and browse material on our engaging learning platform.  You’ll learn through a combination of:

  • Readings
  • Pre-recorded videos
  • 1:1 support sessions
  • Hands-on activities and practical project work
  • Q&A via chat and discussion boards

We offer three online course formats across design, tech and business that deliver a range of practical outcomes:

  • Transform courses teach job-ready skills and help you launch a new career
  • Elevate courses expand your existing skill set and progress your career
  • Foundations courses teach introductory skills and build a knowledge base

Have questions? We’re here to listen.

  • Get support finding the right course for you
  • Talk through course financing options
  • Preview our learning platform

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