Your practical, industry-informed journey to deeper expertise in data analytics
An immersive program designed to elevate your skills and experience, transforming you into a top-performing data analyst.
Advance your career by creating and implementing industry-standard systems, with guidance from a network of seasoned industry experts.
Advance your career by building real industry systems through industry projects
Our industry projects put you in the position of an engineer on the job. You are dropped into cloud infrastructure that mirrors what you’d find in the workplace. You are challenged to use step by step instructions to build their data pipelines and models, learning by doing.
Build a solid foundation in software engineering
Software Engineering
Learn the core of writing production ready code, following industry best practices.
You will build two different projects that will help you learn the basic and advanced concepts of Python, and other industry relevant tools such as the command line and version control tools, such as git and GitHub. In the first project you will create a command line assistant that helps you process multiple entries from IMDB. In the second project you build an implementation of the Hangman game using object oriented programming in Python.
Module 1: Python Programming
- Arithmetic Variable Assignment and Strings
- Lists and Sets
- Dictionaries, Tuples and Operators
- Control Flow
- Loops
- Functions
- Error Handling
- The Python environment
- Advanced Python
- Debugging
- Object Oriented Programming
Module 2: The Command Line
- FIle Navigation
- File Manipulations
- File Permissions
- Advanced Command Line Features
Module 3: Git and Github
- Version Control
- Commits and Branches
- Fetching and Merging
- Merge Conflicts
- Pull Requests
- README Files
- GitHub Security
Then specialise in data analytics
Data Analytics
Learn how to discover and analyse raw data to derive useful patterns, trends, relationships and insights, and communicate these in a visual manner to enhance decision making.
- Use statistical methods and visualisation techniques to dive into data for your choice of client from the Retail, Manufacturing or Finance Industries. Load the data from a remote relational database. Clean and transform the data using Pandas. Extract actionable insights from the data using statistical and visualisation techniques, to help the client make key business decisions.
- Develop a comprehensive Power BI report for a multinational retailer. As a Data Analyst, you'll cater to the needs of the C-suite executives, delivering key insights. Load data from diverse sources. Construct an efficient data model and formulate advanced measures.Design a user-friendly, multi-page report featuring slicers, pagination, and an interactive map for an enriched experience. This project emphasises the value of visual analytics in communicating critical business data to decision-makers.
Module 1: Data Formats and Processing Libraries
- JSON, CSV, XLSX and YAML
- Tabular Data
- Pandas Dataframes
- Advanced Dataframe Operations
- Data Cleaning in Pandas
- Numpy
- Missing Data
Module 2: SQL
- What is SQL?
- SQL Setup
- SQL Tools Setup
- SQL Commands
- pyscopg2 and SQLAlchemy
Module 3: Essential Cloud Technology
- What is the Cloud
- Essential Cloud Concepts
- AWS Identity and Access Management
- AWS CLI
- Introduction to Amazon S3
- S3 Objects and boto3
- Amazon EC2
- Virtual Private Cloud
- IAM Roles
- Amazon RDS
- Billing in AWS
Module 4: Data Visualisation and EDA
- Populations, Samples and Descriptive Statistics
- Handling Null Values and Skewed Distributions
- Common Visualisation Types
- Exploratory Data Analysis
Module 5: Microsoft Power BI
- Loading and Transforming Data
- Building a Data Model
- Introduction to DAX Expression Language
- Creating Reports and Visuals
- Pagination, Bookmarks and Interactions
Career support
Work with our outcomes team to launch your new career.
Programme Schedule
The programme is fully remote. There are no traditional “classes” to attend. You can progress through your learning and projects on whatever schedule is convenient to you, booking time with support engineers to guide you as you need it.
Drop-in live support sessions available through the day and evening
Online community meetups Monday - Thursday 6:30PM to 9:30PM where you can work alongside your peers and support engineers are available for instant support
Drop-in live support sessions available through the day and evening
Online community meetups Monday - Thursday 6:30PM to 9:30PM where you can work alongside your peers and support engineers are available for instant support
Drop-in live support sessions available through the day and evening
Online community meetups Monday - Thursday 6:30PM to 9:30PM where you can work alongside your peers and support engineers are available for instant support
Accelerate your career development with AiCore
Career playbook
Optimise your CV, LinkedIn, and GitHub profiles, and discover effective strategies to pinpoint and secure your next role.
Get referred by alumni
Our alumni network hire directly from AiCore. Over 15% of AiCore grads get hired this way.
Interview coaching
Our team provides comprehensive preparation, including general and technical mock interviews, to ensure you're well-prepared and poised for success in advancing your career.
Curated job board
Access our internal job board of curated roles
Success stories
Neuroscience graduate
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Miruna Nitu
Data Engineer at ASOS
Software Engineer
Ahmed Asadi
Machine Learning Engineer at Elemeno Ai
VP of Technology
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Ben Pashley
ML Systems Architect at Faculty
Learning packages that work for you
Professional certification
Obtain professional certifications in essential skills for a successful career as a data analyst, data scientist, data engineer, cloud engineer or machine learning engineer.
Career launch
The end-to-end solution for launching your career as a data analyst, data scientist, data engineer, cloud engineer or machine learning engineer.
Frequently Asked Questions
Who are we?
AiCore is a specialist Ai & Data career accelerator. We deliver an immersive programme that will help launch your career in Ai & Data. To-date we have had over 2500 students successfully graduate our programme.
Where will I take classes?
Our programmes are 100% online and available on demand.
Do I need prior knowledge or an academic degree to join?
No, we don’t require any specific degrees or certifications to join the programme.
Do I receive a certification when I complete the programme?
Yes we offer the following certification for each specialisms:
- Data Engineering: Databricks Certified Data Engineer Associate
- Cloud Engineering: Microsoft Azure Fundamentals (AZ-900)
- Data Analytics: Microsoft Power Bi Data Analyst Associate (PL-300)
- DevOps Engineering: HashiCorp Certified Terraform Associate (003)