Data Analytics Course
The analytics workflow end to end: Excel, Power Query, Power BI, visualization and business intelligence with projects.
View course →
Career-oriented analyst training
Data Analyst Course
Built around what junior analyst roles actually ask for: clean data, answer questions, build reports and explain results.
- Hands-on, project-based
- Trainer feedback on every module
- Free counselling & demo on request
- Format
- Live, instructor-led
- Duration
- Shared at counselling
- Fees
- Shared on enquiry
- Level
- Beginner to advanced
Data Analyst Course overview
This course is organised by the work of a junior analyst rather than by software. Each block ends with a deliverable you would produce on the job: a cleaned dataset, an analysis note, a dashboard, a weekly report.
Tools taught: Excel, Power Query, Power BI and DAX. SQL and Python are not part of this curriculum. For a broader skills map see Data Analytics and the data analyst skills guide.
Who this course is for
- Graduates and career changers targeting analyst roles
- MIS and operations staff moving into analytics
Prerequisites
- Basic computer skills; Excel basics help but are covered
What a junior analyst delivers
Clean dataset
Import, de-duplicate and standardise data, with a short data-quality note.
Analysis note
A written answer to a business question with supporting numbers.
Dashboard
An interactive report for a non-technical audience.
Recurring report
A refreshable weekly or monthly pack.
What you will learn
- Work fluently in Excel and Power Query
- Model and analyse in Power BI with DAX
- Build dashboards and recurring reports
- Write short insight summaries
- Prepare for interviews and case tasks
- Present a project portfolio
Tools covered
- Excel
- Power Query
- Power BI
- DAX
- Data visualization
- Business reporting
Practical projects
Sales analysis note and dashboard. Question, analysis, dashboard.
Automated weekly report. One refresh to a ready pack.
Interview case task. A timed case with feedback.
Detailed curriculum
The program is taught module by module. Each module ends with a hands-on exercise built on business-style data.
Module 1Excel for analysts
- Formulas, lookups, pivots
Module 2Power Query
- Repeatable data preparation
Module 3Power BI
- Modeling and visuals
Module 4DAX
- Measures and time intelligence
Module 5Data visualization
- Chart choice and dashboard design
Module 6Business reporting
- Recurring reports and insight notes
Module 7Projects
- Portfolio projects with review
Module 8Interview preparation
- Question practice, resume, case tasks
Learning methodology
Every concept is taught on a working file. You see the business question first - for example, "which regions missed target last quarter?" - and then build the formula, query or measure that answers it.
Each module closes with an exercise you complete yourself, followed by trainer feedback. Mistakes are part of the process: we cover the errors people actually hit, such as text-formatted numbers, broken lookups and wrong relationship direction.
Training files and practice datasets are provided so you can repeat every exercise after class.
Training format, batches and certification
Format. Instructor-led, practical sessions. Online, classroom and hybrid options are confirmed when you speak to us.
Batches. Upcoming batch dates are shared during counselling so you get current information. Ask for weekday, weekend or fast-track availability.
Certification. You receive a CharterPeak course completion certificate on completing the program and its assessments. This is not a Microsoft certification. If you want to prepare for a Microsoft exam such as PL-300, tell us and we will map the syllabus to the official skills outline.
Your trainers
Trainer names, backgrounds and areas taught are listed on our trainers page. Ask for a short demo class or a call with the trainer before you enrol.
Sample task: the 24-hour case
Candidates are often given a dataset and 24 hours. We rehearse: restate the question, check the data, answer in three slides or one dashboard page, and list assumptions.
Career applications
- Junior data analyst
- Business analyst
- MIS / reporting analyst
- See the career guide and interview questions
Continue your learning path
- Read how to become a data analyst
- Cover the full toolchain in Data Analytics
- Strengthen with Power BI
Frequently asked questions
Is this different from the Data Analytics course?
The Data Analytics course teaches the process and toolchain. This course is arranged by role deliverables and ends with interview preparation.
Does it guarantee a job?
No. We do not guarantee placement or salary. We help you build skills, projects and interview readiness.
Is SQL included?
No. The tools are Excel, Power Query, Power BI and DAX.
What salary can a data analyst expect?
It varies by city, skills and employer. Check current job listings and salary surveys for your city; our career guide explains how to read them. We do not quote unsourced figures.
What is the duration of the Data Analyst Course?
Duration depends on the batch (weekday, weekend or fast-track). We confirm the schedule and total hours when you speak to us, so you get current information rather than a fixed number on a web page.
Who can join the Data Analyst Course?
Students, graduates, working professionals and career changers. The prerequisites are listed on this page; if you are unsure, book a free counselling call and we will point you to the right starting course.
Is the training practical?
Yes. Each module is taught on working files with exercises you complete yourself, followed by trainer feedback and project work.
Is the training online or in a classroom?
Delivery options depend on the batch. Ask about current online, offline and hybrid availability when you enquire.
Is certification provided?
You receive a CharterPeak completion certificate after finishing the program and its assessments. It is not a Microsoft certification and we do not promise exam results.
What fees and payment options apply?
Fees depend on the batch and format and are shared on enquiry. See our refund policy before you enrol.
Related courses
Power BI Course
Power Query, data modeling, DAX, visuals, dashboards and Power BI Service - from first import to a published report.
View course →Excel Data Analysis Course
The analytical process in Excel: frame the question, clean and profile data, analyse with pivots and statistics, and present findings.
View course →Excel + Power BI + Data Analytics
Our complete practical program: Excel, Power Query, Power Pivot, Power BI, DAX, dashboards, projects and analytics career preparation.
Explore the flagship program →Related learning resources
What Is Data Analytics? Types, Process and Tools
A clear explanation of data analytics: what it is, the main types and the typical process.
Read guide →Ready to start?
Talk to us about your background and goals. We will recommend the right batch and starting point - no pressure.