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Data Analytics Course
Trending · Data & Analytics
4.7 out of 5 · 150+ student ratings

Data Analyst
Training Program

Learn Excel, SQL, Python and Power BI to clean, analyze and visualize business data for Data Analyst and Reporting Analyst roles.

  • Excel, SQL and Python for real data analysis
  • Dashboard building with Power BI
  • End-to-end analytics projects with business context
WhatsApp Advisor
Data Analytics Course

Course Overview

Live instructor-led course with practical tasks, portfolio guidance and career support.

Duration
4 Months
Level
Beginner to Job-Ready
Format
Live Online + Projects
Schedule
Weekend / Evening Batches
4Months
10+Datasets
4Capstone Projects
LiveMentor Support
About this course

Practical training designed for real career outcomes

This course is built for beginners who want a practical, job-focused path into data analytics. You will learn to gather and clean data, write SQL queries, perform exploratory analysis in Python or Excel, and present insights through dashboards that drive business decisions.

Clean and analyze data using Excel formulas and pivot tables
Write SQL queries to extract and aggregate business data
Use Python/Pandas for exploratory data analysis
Build interactive dashboards and reports using Power BI
Apply statistics to identify trends and patterns in data
Communicate data insights clearly to business stakeholders
Skills You'll Build

Beyond the tools — the skills employers actually screen for

Technical knowledge gets you in the door; these are the skills that come up in every interview and every performance review after that.

Communication
Problem-Solving
Analytical Thinking
Time Management
Continuous Learning
Data Cleaning
Statistical Analysis
Data Visualization
SQL Querying
Predictive Modeling
Dashboard Design
Data Storytelling
Meet Your Mentors

Learn from people who've done the job

Every mentor on this course has spent years doing this work inside real organizations, not just teaching about it.

WC

Wei Chen

Data Science Mentor
9+ Years, Applied ML

Nine years building and shipping machine learning models for retail and finance clients. Wei emphasizes practical model evaluation and the messy realities of real-world data over textbook-perfect datasets.

AO

Amara Okafor

Analytics & BI Mentor
11+ Years, BI Architecture

Eleven years building dashboards and reporting systems that executive teams actually use to make decisions. Amara focuses on data storytelling — turning a chart into a business argument.

DK

Daniel Kowalski

Automation Engineering Mentor
10+ Years, Automation Engineering

Ten years building automation solutions for manufacturing and logistics clients. Daniel teaches students to identify which processes are actually worth automating, not just how to automate anything in front of them.

Student Outcomes

Reviews from students who took this course

The projects mirrored what I now do at my job almost exactly. I was productive from week one at my new role.

EN
Emeka Nwosu
Data Analyst · London, UK
Job-ready from day one

I compared a few training providers before enrolling. This was the only one where the instructor had actually done the job.

FL
Freya Lindgren
Data Analyst · Vancouver, Canada
Chose Checkmate over competitors

Small class sizes meant I actually got feedback on my work instead of just watching a lecture.

GS
Gabriel Souza
Data Analyst · Toronto, Canada
Personalized feedback loop

The portfolio project I built in this course is still the first thing I show in interviews.

HK
Hana Kobayashi
Data Analyst · Seattle, WA
Portfolio-ready project
Program Fee

Simple, transparent pricing

No hidden fees. Pay a small deposit to reserve your seat, then split the rest.

Limited-Time 50% Off
$1,000 $500

One-time program fee, or split into two payments below

$250
due at enrollment to reserve your seat
$250
remaining $250 due after 15 days

7-day money-back guarantee if the course isn't the right fit

Job Assistance Interview Preparation Resume & Profile Building Placement Support
Curriculum

What you will study

Each module is structured to move from concept to practice so students can understand the topic and apply it in a real workflow.

01

Excel & Data Foundations

  • Excel formulas
  • Pivot tables
  • Data cleaning techniques
  • Basic statistics
02

SQL for Analytics

  • SELECT and joins
  • Aggregate functions
  • Subqueries
  • Data extraction for reporting
03

Python for Data Analysis

  • Python and Pandas basics
  • Data wrangling
  • Exploratory data analysis
  • Basic visualization with Matplotlib
04

Dashboards & Storytelling

  • Power BI fundamentals
  • Interactive dashboard design
  • KPI reporting
  • Presenting insights to stakeholders
Hands-on learning

Projects and practical outcomes

The course includes practical exercises and project work so learners can show proof of skills, not only course completion.

Sales and revenue analysis dashboard

Create a polished deliverable that can be discussed in interviews, freelancing proposals, or portfolio reviews.

Customer segmentation analysis using SQL and Python

Create a polished deliverable that can be discussed in interviews, freelancing proposals, or portfolio reviews.

End-to-end business reporting project with Power BI

Create a polished deliverable that can be discussed in interviews, freelancing proposals, or portfolio reviews.

Career roles this course can support

Data Analyst Business Data Analyst Reporting Analyst Junior BI Analyst Operations Analyst
Questions

Frequently asked questions

Do I need to know Python and SQL already?

No. Both are taught from the basics as part of the course curriculum.

How is this different from the Data Science course?

Data Analytics focuses more on reporting, dashboards and business insights, while Data Science goes deeper into machine learning and predictive modeling.

Will I build a portfolio?

Yes. You will complete multiple capstone projects suitable for showcasing in job interviews.

I have no coding experience, can I still enroll in the Data Analytics course?

Yes. The course is designed for career-changers as well as graduates, starting with Excel and statistics fundamentals before introducing SQL, Python, and visualization tools. As long as you're comfortable with basic spreadsheet work, you can start from day one.

Is the data analytics program live, self-paced, or a mix of both?

Classes are conducted live online by an instructor with real-time Q&A, and every session is recorded so you can study at your own pace afterward. We offer weekday and weekend batch options to accommodate students across the US, UK, Canada, and Ireland.

What roles can I apply for after finishing, and does this help with analytics certifications?

Graduates commonly apply for Data Analyst, Junior Business Analyst, Reporting Analyst, and Analytics Associate roles, and the curriculum also builds a strong foundation for certifications such as Microsoft Power BI Data Analyst or Google Data Analytics. Data analytics remains one of the highest-demand entry points into the broader data field.

What ongoing support do I get, and can I pay in installments?

You can split the fee into installments, and payments are accepted via card, PayPal, or bank transfer. If the course isn't a good fit, our 7-day money-back guarantee lets you request a refund early on, and after completion you can keep reaching out to our team via WhatsApp or email for guidance.

Enroll now

Start Data Analyst

Submit your details and the Checkmate IT Tech advisor team can contact you with batch timing and fee details.

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