Data Visualization & Analytics

Expert Instructor - Led Classes (Virtual)

Start Date: October 18, 2025

Program Duration: 10 Weeks

Class Days/times:

(Saturday: 03:00 PM - 06:30 PM EST)

This program will blow your mind!

In today’s data-driven world, understanding how to make sense of data is no longer optional - it’s a necessity. The Data Visualization & Analytics (Skill Development) program is designed to empower anyone, regardless of background (no tech experience required) to confidently develop the necessary skills, use the Data tools to interpret, analyze, and visualize data. This hands-on, practical program focuses on building strong analytical skills in data analytics and storytelling, preparing learners to become bold and confident.

Our emphasis is on hands-on practice. You won’t just learn concepts, you’ll work through real-world scenarios to build your skills step by step. With small, digestible lessons, live expert-led instruction, and access to practical resources, this program removes the barriers that often make analytics feel intimidating.

accelerate course

About the Course

Data is all around us - every decision, every process, every trend is informed by data. This program was created to simplify the complexities of analytics and make in-demand data skills accessible to all. Through a carefully curated learning path, participants gain practical experience with industry-standard tools, such as Excel, Power BI, Tableau, and SQL , while learning how to transform raw numbers into meaningful insights.

The curriculum emphasizes practical learning, starting with data fundamentals and advancing to visual storytelling using Excel, Power BI, Tableau, and SQL. Each module blends live instruction, demonstrations, and guided practice, allowing learners to apply techniques as they progress.

The course is intentionally crafted to remove barriers to learning. No prior technical knowledge or experience is required. A key feature of this course is its accessibility and supportive environment. Participants are guided through every concept, with opportunities to ask questions, experiment with tools, and build confidence in their abilities.

Learning Objectives

Upon completion of this program, you will learn to

  1. Build a strong foundation in understanding and working with different types of data, including structured, semi-structured, and unstructured data.
  2. Gain practical, hands-on experience through guided exercises that focus on solving real-world data challenges in a structured, supportive learning environment.
  3. Strengthen technical capabilities by working with Excel, SQL, Power BI, Tableau, and other analytics tools to analyze and manage data effectively.
  4. Learn techniques to extract, transform, and load (ETL) data from various sources, including databases, spreadsheets, and web APIs, to prepare it for analysis.
  5. Master the art of creating clear, compelling data visualizations that communicate insights effectively to both technical and non-technical audiences.
  6. Develop analytical thinking and problem-solving skills to interpret data accurately and draw actionable conclusions.
  7. Understand data quality principles, including validation, accuracy checks, and consistency, to ensure trustworthy and reliable analysis.
  8. Build confidence in presenting findings through structured data storytelling techniques and effective communication strategies.

What You’ll Get

Course

Payment Options

Flexible & Affordable Pricing

Through practical, hands-on programs, we empower you to build valuable skills that matter. Learning shouldn’t be limited by barriers, with flexible installment options, you can invest in your future with confidence 🚀. Eligible for Inclusive Access*

Enrol Now

Alumni Experience

Frequently Asked Questions

This program is designed for anyone eager ready to upskill in data analytics. Whether you’re a career switcher, a student, or a professional looking to upskill. No prior technical experience is required; we start with the basics and build your skills step by step.

We focus on removing barriers to learning analytics. By keeping lessons practical, beginner-friendly, and directly applicable to real-world scenarios, participants gain skills and confidence quickly.

You will be provided with all required Data Analytics softwares after enrollment with simple step-by-step installation guidelines.

Your current Laptop will work if it has a minimum of 4GB RAM. Windows or Mac OS Laptops will work as well. But if you are buying a new laptop then we typically recommend a Windows-based laptop with minimum of 8GB of RAM and 500GB SSD.

Yes. You have access to all class recordings. A key feature of this course is its accessibility and supportive environment. Participants are guided through every concept.

This is a 10-week program. All classes are Instructor-led and virtual. Classes are held every Saturday: 3pm - 6:30pm EST. Our emphasis is on hands-on practice. You won’t just learn concepts, you’ll work through real-world scenarios to build your skills step by step.

Yes it is. Anyone can enroll and excel in this beginner-friendly experiential program. We'll start with MS Excel, SQL, Power BI, Tableau and gradually build your skills and capabilities to become bold and confident. No coding or prior tech experience required.

BlackTECH Alumni Bring Their Expertise to These Top Organizations

angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular
angular angular angular angular angular angular angular angular angular

Chat or Connect with a Learning Advisor