Become a Data Analyst in 20 weeks
Our goal at Hubledge is to train you to start a career as a Data Analyst. Using the latest tools and technology, we’ll teach you in-demand skills and the knowledge to help you secure entry-level data employment upon graduation. Additionally, we’ll teach you how to use tools like GitHub to build a portfolio of your work for potential employers.
Course Duration
20 Weeks
Learning Format
Part Time - Online
Weekly Effort
Two weekday evenings and a Saturday
Course Overview
Our Data Analytics Bootcamp is an intensive program designed to build proficiency in data analysis, visualization, and interpretation using tools like Python, SQL, and Excel. Students learn key skills in data wrangling, exploratory data analysis, and statistical methods, followed by foundational machine learning for predictive insights. Through projects and assignments, the program places a strong emphasis on practical experience, which culminates in a capstone project when students apply their knowledge to actual data. Graduates are equipped for positions in business intelligence and data analytics.
By the end of the 20-week programme, you will learn:
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Module 1: Introduction to Basics of Data and Data Analysis
You will learn about data types, sources, and collection methods; the importance of data quality and preparation; foundational data analysis goals and processes; and gain an overview of essential data analysis tools and software. -
Module 2: Statistics and Probability
You will learn about data types, sources, and collection methods; the importance of data quality and preparation; foundational data analysis goals and processes; and gain an overview of essential data analysis tools and software. You will learn foundational concepts in statistics, including measures of central tendency and dispersion, probability distributions, confidence intervals, hypothesis testing, regression analysis, and statistical tests (T-Test, ANOVA); and how to leverage them to analyse and interpret data effectively. -
Module 3: Microsoft Excel
You will learn the essential skills in Microsoft Excel, including navigation, data import, formulas, and functions. Master data cleaning (Power Query), data manipulation (sorting, filtering, pivot tables), advanced techniques (XLOOKUP, INDEX-MATCH), data visualization, and data analysis tools. -
Module 4: SQL - Structured Query Language
You will learn database fundamentals, including tables and relationships, basic SQL commands (SELECT, INSERT, ALTER, CREATE), advanced techniques (JOINs, subqueries, CTEs), indexing, stored procedures, and efficient database design with normalization and ER diagrams. -
Module 5: Enterprise Dashboards with Tableau
You will learn Tableau essentials, including installation, interface navigation, and data connections. Master data visualization techniques, build interactive dashboards and stories, explore advanced features (calculated fields, LOD), and apply Tableau in real-world business intelligence cases. -
Module 6: Enterprise Dashboards with Power BI
You will learn Power BI basics, including installation, data connectivity, and interface navigation. Master data transformation and modelling, create and customize visualizations, build interactive reports and dashboards, and explore advanced features like DAX and Power BI Service. -
Module 7: Python Basics
You will learn Python basics, including installation, syntax, and environment setup. Understand data structures (lists, tuples, dictionaries), control structures (conditionals, loops), and work with functions and modules for efficient coding. -
Module 8: EDA (Exploratory Data Analysis) with Python
You will master data handling with Pandas, clean and transform data, visualize insights with Matplotlib and Seaborn, perform statistical analysis, and conduct Exploratory Data Analysis (EDA) to uncover data patterns. - Download Curriculum
Upcoming Data Analytics Bootcamp Courses
Are you ready to start?
Requirements
- A computer and stable internet connection
- Analytical and critical skills and the ability to explain complex data concepts
- You must have the interest and commitment to start your data analytics journey
Complete the application process
- Click on the apply button to complete the application form
- You will receive an automated email and a second email with instructions and information on the next steps
Notification of the outcome
- After we have reviewed the pre-enrolment questionnaire, we may get in touch to seek further clarification, and this is an opportunity for you to ask questions about the programme
- The admissions team will get in touch to inform you of the outcome of the application and provide information on the next steps
Payment options
- It’s quite simple. You have the option to pay upfront and utilise our massive early bird discount
- Monthly instalments – allowing you to split your tuition into monthly payments over 2 or 3 months
- Sponsorship – we are open to the option of being reimbursed by your employer or an organisation interested in supporting training
Learning about data is simply one aspect of it
The Bootcamp training includes:
- Instructor-Led Online Training
- Improving your soft skills
- Industry Standard Curriculum
- Interview coaching and mentorship
- Career support post-graduation
£1,000
Early bird discounts – up to £300 OFF
- Flexible payment available
Live information session
Join us to learn more about the Hubledge application process. The session offers you a chance to learn all about the program and get all your questions answered.
Frequently Asked Questions
How do I apply for a course?
You can apply for the courses by clicking on the “Apply Now” button on this page to enter the application zone and start typing away. It’s that simple
What is the duration of the Data Analysts course?
The Data Science lasts for 20 weeks.
Do I need to use my laptop?
Having a laptop of your own is recommended.
Do you have a payment arrangement in place?
Yes. You can make a full payment upfront, pay in instalments, or with a longer-term option provided by our financial partner. In addition, through Employer Sponsorship, for an employer to pick up the tuition cost.
What is the learning format for the course?
All boot camp courses are online with live instructors.
Is there a support arrangement for your graduates?
We’ll continue to support you for six months post-graduation through our Career Support team to ensure you hit the ground running.
What happens when a student fails the course?
At Hubledge, failure is not an option. As long as a student puts in the effort to learn, we always ensure the student is supported and taken along on the course until graduation.
What are the job roles available to a data analyst post-completion?
After completing the Data Analyst course, you can apply for roles such as Junior Data, Data Analyst, Business Intelligence Analyst and Data Scientist. With experience, you will be able to apply for senior roles like Senior Data Analyst, Data Analytics Manager, Director of Analytics etc.
