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Academy Xi

Data Analytics for Business: Professional Certificate

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Master the coding trifecta essential for data roles. Learn and apply Python, SQL, and data modelling to immediately strengthen your technical profile and confidently add high-value, practical skills that accelerate your career progression.

Powered by Academy Xi
  • 6 months access, 60-80 hours
  • No prerequisites
  • Up to twelve 1:1 mentor sessions
  • Digital Skills Masterclass Program

Self-paced, Study from $126.92 per week

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Data Analytics for Business: Professional Certificate

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Data Analytics for Business: Professional Certificate
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Subscription model for all Professional Certificate courses

Academy Xi students now have the option to subscribe to our entire range of Professional Certificate 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.

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Why choose this course?

Flexible and self-paced

With 6 months of 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 Professional Certificate courses help you strengthen your career with in-demand skills, opening doors to better opportunities, higher earning potential, and long-term growth.

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Course breakdown

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.

Data Analytics for Business: Professional Certificate

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

Payment Options

Week to week
Pay as you go
Pay in $200.00 today & then over 26 instalments
$126.92 Weekly
Total course cost: $3,500.00
Pay Upfront
$3,500.00
Full course breakdown
TBD

Need more details about Data Analytics for Business courses?

The course guides contain everything you need to know about Data Analytics for Business courses, including…

  • Topics covered
  • How you’ll learn
  • Course outcomes and more!

Why study Data Analytics for Business at Academy Xi?

  • Portfolio & career
  • Learning & resources
  • Mentoring and support
    • 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.
    • Hands-on experience

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

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

      Get 1:1 mentor sessions and access to dedicated teams who guide you through each stage of your learning journey.
    • Exclusive masterclass program

      Join monthly expert-led sessions to sharpen your skills, grow your network, and learn from people already working in the industry.
    This training is distinguished from other courses through its immediate feedback, if you choose to get it. I think that’s what really sets it apart – having that high level of support.
    Barry N., Software Engineer
    AXI Graduate, Design & Technology
    I started the Data Analytics course as a complete beginner. By graduation, I could write my own code with Python, create amazing data visualisations and had built a pretty impressive portfolio. For anyone interested in starting a career in digital industries, an Academy Xi course is a great way to get the ball rolling.
    Jocelyn T., Data Analyst
    AXI Graduate, Design & Technology

    Frequently Asked Questions

    What is Data Analytics?

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    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.

    Why is Data Analytics important in business?

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    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.

    What tools do Data Analysts commonly use?

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    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

    What is the difference between Advanced Certificate, Professional Certificate & Foundational Certificate courses?

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    Academy XI’s online courses come in three formats. Whatever your learning style, work schedule, or level of support you need, Academy XI has you covered.

    To choose the right course format, start with your career goals:

    • Are you studying to transform your career? Academy XI’s ADVANCED CERTIFICATE courses give you up-to-date industry skills and set you up to graduate job-ready, with a built-in Career Support Program.
    • Want to complement your existing skill set? Academy XI’s PROFESSIONAL CERTIFICATE courses help you grow your expertise in a social, supported environment.
    • Just want the fundamentals? Explore at your own pace with Academy XI’s FOUNDATIONAL CERTIFICATE courses.

    How will I learn at Academy Xi?

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    In this course you’ll experience our ‘flipped classroom’ style of learning, where students cover course content independently and at their own pace, 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