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Data Analytics Pro: Elevate




12 weeks, part-time

30 May 2022 - 15 Jul 2022

Course overview

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Level up your existing data skills by learning to code with Academy Xi’s Data Analytics Pro: Elevate. This practical, mentor-led course that will teach you all things data: extraction, manipulation, visualisation and modelling.

With curriculum created by Flatiron School – a leading New York based tech education provider – in consultation with the industry, this course contains current, relevant content that employers are looking for and is delivered by our expert Australia-based educators with years of Data Analytics experience.

The demand for Data Analytics talent is growing exponentially. With an average salary of AUD$90,000 and over 6300* roles on offer, learning Data Analytics and Data Science is a sure way to future-proof your career.

Packed with industry-relevant content:

  • Premium content built in-house by experts
  • 60-80 hours of content and practical activities along 12 weeks
  • Learn the in-demand tools to analyse and mine data effectively – Python programming for data manipulation, cleaning and visualisation, SQL for data storage, and data modelling to predict trends
  • Visualise and present data persuasively to secure stakeholders’ buy in

The best way to learn is by doing:

  • Work on hands-on activities each week, with 50% of your time spent coding
  • Build your portfolio with two projects (Python and Data Modelling)
  • Interactively develop, narrate and present your projects using Jupyter Notebooks, a powerful collaborative tool used by Data Scientists
  • Get practical experience that you can immediately use in your job

A highly supported experience: 

  • Mentor-led live video sessions to facilitate classroom discussions, unpick projects and bring the content to life
  • Live sessions conveniently held twice a week after working hours
  • Two 1:1 on-demand sessions with your mentor for tailored support
  • Stay on track with fixed deadlines while enjoying flexibility in how you pace your weekly activities
  • Entire teams dedicated to your support and progression

A social and collaborative learning environment:

  • Start the course as a group and learn at the same pace as all other students  
  • Collaborate with your classmates, grow together, and make lifelong friends

Earn trusted and recognised credentials:

  • On completion of this course, you can add an industry trusted digital credential to your Linkedin profile

source: * – seek.com.au, as of Nov 2021

Course timeframe

This course takes approximately 60-80 hours over 12 weeks. This timeframe includes getting through the learning materials, attending live video sessions, completing the course activities, developing your projects, and communicating with your peers and mentor.

What you'll learn

  • Variables and data types
    • Strings
    • Numbers
    • Booleans
    • Lists
    • Dictionaries
  • Conditionals and control flow
  • Using built-in operators and functions
  • Loops
    • For loops
    • While loops
    • Nested loops
    • Looping over collections
  • Writing functions
    • With and without arguments
  • NumPy library
  • Measures of central tendency (mean, median, mode, quantiles)
  • Measures of dispersion (standard deviation, variance)
  • Covariance and correlation
  • Creating visualisations using Matplotlib
  • Customising visualisations
  • File input and output in Python
  • Read and extract data from JSON files
  • Read and extract data from CSV files
  • Using JSON and CSV data, analyse the relationship between the population of a country and its world cup performance
  • Load, access, and describe data using pandas
  • Use descriptive statistics to perform Exploratory Data Analysis
  • Clean, transform, and aggregate data using pandas
  • 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
  • Perform joins
  • Use aggregate functions in SQL with GROUP BY
  • Perform advanced queries in SQL including nested queries
  • Perform linear regression on a dataset with one predictor using statsmodels
  • Interpret regression output
  • Identify and test the assumptions of simple linear regression models
  • 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

Who this course is for

If you’re looking for a practical, mentor-led professional development course with in-depth coverage of data analytics, our Data Analytics Pro: Elevate course is ideal for you. This course assumes a basic level of familiarity with data analysis and is ideal for:

  • Junior analysts who want to enrich their career prospects or land a promotion with specific Data Analytics skills
  • Those currently working with data in spreadsheets, who want to level up and use Python and SQL for more sophisticated analysis
  • People who are interested in the world of data analytics professionally and keen to explore if it is the right career path for them

Earn a digital credential

We partner with Credly to deliver digital credentials for our graduates. Digital credentials are a graphical representation of your skills, combined with a description of the knowledge and activities it took to earn them. 

Digital badges can be used in email signatures or digital resumes, and on social media sites such as LinkedIn, Facebook and Twitter. 

For more info, click here.

Our students' success stories

Academy Xi scored 5 out of 5, as rated by our students.

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