Become a Job-Ready Data Analyst in 13 Weeks
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Data Analyst Job-Ready
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Next intake: 23 September 2026
Suite 2, Level 2, 22 George Street, North Strathfield NSW 2137Become a Job-Ready Data Analyst in 13 Weeks with Excel SQL Power BI Tableau Python Azure Snowflake Databricks
78 hours of live, instructor-led training across four phases, spreadsheets to cloud data platforms with a portfolio you build, a mentor who reviews it, and career support until you're hired.
Learn the Tools Data Analysts Use Every Day
Build practical skills across spreadsheets, databases, visualisation, programming and modern cloud data platforms.
Everything You Need to Become a Job-Ready Data Analyst
A focused 13-week program built around live training, practical projects, industry tools and structured career preparation.
See What Your 13-Week Journey Looks Like
Get a quick look at how the Data Analyst Job-Ready Program combines live learning, hands-on projects and practical career preparation from your first class through to job readiness.
13 Weeks of Practical Data Analytics Training
Build your skills step by step from Excel and SQL through Power BI, Python, Azure, Snowflake and Databricks.
- ✓Excel Interface & Formatting
- ✓Basic Functions: SUM, AVERAGE, COUNT, IF, IFERROR
- ✓Lookup Functions: VLOOKUP, XLOOKUP, INDEX-MATCH
- ✓Data Sorting & Filtering
- ✓Power Query
- ✓Pivot Tables and Pivot Charts
- ✓Excel Dashboards
- ✓Introduction to Databases and MySQL setup
- ✓SQL Syntax: SELECT, FROM, WHERE, ORDER BY, LIMIT
- ✓Logical Operators (AND, OR, NOT)
- ✓Aggregation Functions: SUM(), AVG(), COUNT()
- ✓GROUP BY and HAVING Clauses
- ✓SQL Joins: INNER, LEFT, RIGHT, FULL
- ✓Date Functions in SQL
- ✓Subqueries and Aliases, CASE Statements
- ✓Window Functions: ROW_NUMBER(), RANK(), DENSE_RANK()
- ✓Installing Power BI Desktop
- ✓Connecting to Excel/CSV/SQL Data Sources
- ✓Data Cleaning using Power Query
- ✓Basic Visualizations: Tables, Bar, Line, Pie Charts
- ✓Slicers and Filters
- ✓DAX Basics: Measures, Calculated Columns
- ✓Time Intelligence Functions
- ✓Drill-Down, Tooltips, Bookmarks
- ✓Interactive Dashboards
- ✓Power BI Service: Publishing & Sharing and Schedule Refresh
- ✓Row level Security and Incremental Refresh
- ✓Tableau Overview and Interface
- ✓Connecting to Data
- ✓Visuals: Bar, Line, Pie, Tree Maps
- ✓Filters, Sorting, Highlighting
- ✓Calculated Fields & Parameters
- ✓Dashboard Design and Storytelling
- ✓Joins & Blends (Basic)
- ✓Python Setup with Jupyter Notebook
- ✓Data Types, Variables, Loops, Conditions
- ✓Functions & List Comprehensions
- ✓Introduction to NumPy (arrays, operations)
- ✓Intro to pandas DataFrames & Series
- ✓Reading data (CSV, Excel)
- ✓Data Cleaning (dropna, fillna, duplicates)
- ✓Filtering, Sorting, Grouping, Merging
- ✓Plotting with matplotlib and seaborn
- ✓Visual types: Histograms, Boxplots, Heatmaps
- ✓Calling APIs and working with JSON
- ✓Intro to Machine Learning Libraries (sklearn)
- ✓Introduction to Cloud & Azure Platform
- ✓Azure Virtual Machines and Networking
- ✓Azure Storage Accounts & Containers
- ✓Microsoft Entra Id and RBAC
- ✓Azure Data Factory (Basics of ETL pipeline)
- ✓Azure SQL & Azure Synapse Analytics (overview)
- ✓Snowflake Architecture & Cloud Platforms
- ✓Warehouses, Databases, Schemas, Tables
- ✓Data Types, Constraints, Keys
- ✓Ingestion: Loading Data from CSV/JSON
- ✓SQL in Snowflake (Basic Queries)
- ✓Views, Temporary & Transient Tables
- ✓Cloning, Time Travel & Fail-safe
- ✓Query Optimization Techniques
- ✓Virtual Warehouses and Scaling
- ✓Using Snowpipe for Continuous Ingestion
- ✓Introduction to Databricks & Unified Analytics
- ✓Notebooks, Clusters, and Jobs
- ✓DataFrames in PySpark
- ✓Data Cleaning with Spark
- ✓Writing SQL in Databricks
- ✓Delta Lake Concepts
Where Your Data Skills Can Take You
Build the practical skills and portfolio foundations commonly used across entry-level and developing data careers.
Junior Data Analyst
Reporting, dashboards, data cleaning and ad-hoc SQL analysis across day-to-day business needs.
Data Analyst / BI Analyst
Own dashboards, build reporting models, work with DAX and communicate insights to stakeholders.
Analytics Engineer
Work with data pipelines, cloud platforms, Snowflake, Databricks and data-quality workflows.
Data Lead / Manager
Lead teams, shape reporting and platform decisions, and contribute to broader analytics strategy.
What Students Say About TechSkills
Excellent
Diwakshu Katoch
1 year ago
TechSkills is a genuine institute that I would highly recommend to anyone looking to start or grow their career in IT. The mentors are extremely helpful, supportive, and truly care about your success.
Om Nath Chhetri
1 year ago
TechSkills goes above and beyond to help their students get into a job. I did the three-month Job Ready Program in IT and it was fantastic. The program was critical in me landing a job in IT.
Erzhan Aldamatov
1 year ago
I had an amazing experience with TechSkills IT Support, and I can’t recommend them highly enough. The entire team is professional, knowledgeable, and always willing to go the extra mile.
Adarsh
1 year ago
My experience with TechSkills has been truly wonderful. The Job Ready Program provided practical, hands-on IT training that was beginner-friendly and detailed enough to challenge and grow my skills.
Veeresh Reddy
1 year ago
It has hands-on, practical IT training that is ideal for beginners and professionals alike. The trainers are patient, knowledgeable, and always willing to help.
Samitha Rasanjana
1 year ago
The staff at TechSkills were incredibly supportive and helpful throughout my journey to landing my first job in the IT industry. I highly recommend TechSkills to fresh graduates.
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