Data Analyst Training

Data Analyst Training

Fast Track to Your Data Analyst Career

  • Data Analysts earn up to £70k per year
  • Duration: 3 to 4 months, 200 hours
  • Training delivered by experienced Data Analysts
  • Hands-on experience working on real company projects

The Growing Demand for Data Analysts

In today’s data-driven world, organisations rely on data insights to make informed decisions and gain a competitive edge. As a result, Data Analysts are in high demand across multiple industries. Professionals with expertise in data analysis, interpretation, and visualisation play a vital role in helping businesses improve operations, drive efficiency, and enhance decision-making.

Key skills for Data Analysts include proficiency in SQL, R, and Python, which are essential for data manipulation, automation, and analysis. As more companies adopt data-centric decision-making, the demand for skilled professionals in this field is expected to remain strong, providing excellent career growth and job opportunities.

Why Choose Our Data Analyst Training?

We believe true data analysis mastery comes from practical application, not just theory. Our hands-on training programme is designed to build real-world skills, teaching you SQL for database management, followed by proficiency in either Python or R, two of the most sought-after programming languages in the industry.

You will gain experience in importing, cleaning, manipulating, and visualising data, working with powerful tools and libraries. Whether you are new to data analysis or looking to enhance your expertise, this training provides a practical foundation to help you excel as a Data Analyst.

What You’ll Learn

Introduction to Data Analysis

Understand the fundamentals of data analysis, its objectives, and the role of a Data Analyst in different industries

Setting Up Your Data Analysis Environment

Learn SQL setup, essential data analysis libraries, and industry-standard data processing tools

Data Collection and Cleaning

Learn to collect data from multiple sources and clean it for analysis using Python
Import data from various file formats, including CSV, Excel, JSON, and SQL databases

SQL for Data Analysis

Use SQL queries to manipulate and analyse data in relational databases
Learn to combine multiple tables using SQL joins and create advanced queries

Data Visualisation and Dashboarding

Develop interactive data visualisations and dashboards using Power BI, Tableau, and Excel pivot tables

Introduction to Machine Learning

Learn basic machine learning models for predictive analytics, including simple linear regression

Project Implementation and Solution Delivery

Gain experience in delivering data-driven solutions, integrating insights into business projects

Programming Proficiency

Master Python or R to automate tasks, enhance data analysis, and optimise workflows

Industries Covered

This training prepares students for diverse industries, equipping them with versatile skills to secure jobs in various sectors, including:

  • IT and Technology
  • E-commerce and Retail
  • Construction and Real Estate
  • Manufacturing and Supply Chain
  • Luxury and Fashion
  • Pharmaceuticals and Healthcare
  • Automotive and Motor Industry
  • Hospitality and Tourism

SOFTWARES

Python / CSV, Excel, JSON, SQL databases

Career & Salary Prospects

With businesses increasingly relying on data analytics, there is a high demand for skilled professionals. Upon completion of this training, you can apply for roles such as:

  • Data Analyst (£30k – £50k)
  • Business Intelligence Analyst (£40k – £60k)
  • Data Quality Analyst (£35k – £55k)
  • Power BI Analyst (£40k – £60k)
  • Market Research Analyst (£35k – £50k)
  • Financial Analyst (£40k – £70k)

Who Is This Training For?

  • Individuals struggling to secure permanent employment in IT or Data Analysis
  • Professionals looking to transition into Data Analytics with no prior experience
  • Students pursuing BSc in Computer Science, MSc in Data Science, or Applied Mathematics
  • Experienced professionals looking to upskill and advance in Data Analytics
  • Aspiring Data Analysts preparing for IBM Data Science Professional Certificate, CAP, CCA, or CBIP certifications

SOFTWARES

Average Salary after completing

£50k

You can earn an average of £50,000 a year

Junior Data Analyst
£30k
Average salary you can earn
£50k
Senior Data Analyst
£70k

Get in touch

Make A Call

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Your Data Analyst Career Journey in 4 Simple Steps

Step 1

Career Consultation & Registration

Speak with a Career Consultant to discuss your experience, career goals, and the best training path for you. Receive expert guidance and secure your place with a deposit.

Step 2

Start Your Training

Begin your 3 to 4-month training with 1-to-1 expert guidance. Gain hands-on experience working on real company projects, learning SQL, Python, R, data visualisation, and machine learning fundamentals.

Step 3

Earn Your Certification

Upon completion, receive a CPD-approved certification, validating your expertise in data analysis, database management, and business intelligence, making you job-ready.

 

Step 4

Guaranteed Recruitment Support

Access guaranteed recruitment support, including CV optimisation, interview coaching, LinkedIn profile enhancement, and job search assistance, ensuring you secure a Data Analyst role.

Frequently Asked Questions

This course is ideal for beginners, career changers, students, and professionals looking to gain practical data analysis skills. Whether you have no prior experience or want to enhance your expertise, this training will prepare you for real-world job roles.

You will gain hands-on experience with SQL, Python or R, Power BI, Tableau, and Excel, covering data cleaning, manipulation, visualisation, and business intelligence tools.

Yes, upon successful completion, you will earn a CPD-approved certification, which is widely recognised by employers across the UK and enhances your career prospects.

Yes, the course is fully flexible, allowing you to set your own schedule with 1-to-1 training, e-learning, and mentorship, making it suitable for professionals balancing work and studies.