TechMaster Certificate Program in

Data Analytics

In collaboration with

Microsoft

Make Your Career in Data Analytics a Reality

Learn from anywhere.
Land a job in months.
No tech background required.

Build the job-ready skills and hands-on experience you need to land your first role in data analytics in just 5 months.

Data Analytics

Build the job-ready skills and hands-on experience you need to land your first role in data analytics in just 5 months.

  • Next cohort
    Next Cohort Starts: New Cohort Coming Soon
  • Duration
    Duration: 5 Months (Weekend)
  • Mode
    Mode: 100% Online, Virtual Instructor-Led
  • Fee
    Tuition Fee: $3250
  • Payment plans
    Flexible payment plans with Klarna available
Data Analytics

Why Data Analytics? Why Now?

Data analysis is driving business success across every industry.

  • The global data analytics market is projected to reach
    $330 billion by 2030.
  • Entry-level data analysts in the U.S. earn an average of
    $65,000 to $85,000 annually.

Source: US Bureau of Labor Statistics

The Global Data Analytics Market

  • The U.S. Bureau of Labor Statistics projects over 23% job growth in data-related roles.1
  • The global data analytics market is projected to grow at a CAGR of 30% from 2022 to 2030.2

Sources: 1. US Bureau of Labor Statistics | 2. www.precedenceresearch.com

That’s why companies need analysts who can do more than crunch numbers—they need storytellers who bring data to life.

What You’ll Master

This program is designed to take you from beginner to job-ready.

Total No. of courses: 5

Online Classes: Approx 70+ Hours

Hands-On Labs: Approx 50+ Hours

Foundations of Data Analytics
Learn key concepts, data types, and visualization methods.
Microsoft Excel for Data Analysis
Master formulas, charts, macros, and data automation.
Python for AI and Data Analysis
Clean, explore, and visualize data using Python libraries.
SQL
Query, manage, and analyze structured data with advanced SQL techniques.
PL-300: Microsoft Power BI Data Analyst
Build dashboards, transform data, and prepare for the official Power BI certification.
Program Overview
Tools Covered

Become proficient in Microsoft Excel, SQL, Power BI, and Python—essential for data analytics roles.

  • Microsoft Excel
    Microsoft Excel
  • SQL
    SQL
  • PowerBI
    PowerBI
  • Python
    Python

Hands-On Capstone
Turn Real Data Into a Job-Winning Portfolio Project

Put your new skills into practice with a hands-on capstone project designed to simulate real-world data analytics work.

You’ll work with real business data—identifying a problem, analyzing it with industry tools like SQL, Excel, Power BI, and Python, and crafting a compelling data story that communicates your insights.

By the end, you won’t just have learned analytics—
you’ll have created a portfolio-ready project that proves to employers you’re ready to hit the ground running.

Is This Program for You?

This program is ideal for:
Whether you’re switching careers, returning to work, or just looking to level up—this program meets you where you are.
  • Career switchers looking to enter the tech industry
  • Recent graduates who want to build job-ready skills
  • Working professionals aiming to pivot or upskill
  • Business users who want to make better decisions with data

No prior experience is required.
The curriculum is beginner-friendly and designed for flexible, weekend-based learning.

Flexible Payments with Klarna

Choose how you want pay - in full straight away or a series of interest free payments over time

SkillUp partners with

Benefits of Paying with Klarna:

  • Split your tuition fees into manageable monthly installments
  • Choose from 6, 12, 18, or 24-month plans
  • No hidden fees or compounding interest
  • Quick and easy approval process at checkout

The affordable way to build your skills and set yourself up for success!

Showcase Your Achievement with SkillUp's Industry-Recognized TechMaster Certificate

Upon completing the program, you’ll earn a professional certificate that proves your data analytics skills to employers—and looks great on your LinkedIn profile. It’s more than a piece of paper—it’s proof you’re ready to solve real-world problems with data.

Plus: You’ll receive a Power BI exam voucher to earn an official Microsoft certification—boosting your credibility even further.

Career Support Included

Our commitment to your success extends beyond the classroom.

Career Services:

  • One-on-one career coaching
  • Resume and LinkedIn profile assistance
  • Access to exclusive job boards and referrals

Tina's Story: No Tech Experience to Employed Data Analyst in Just 5 Months

What Tina says about this Program:

— Tina L., Dallas, TX

"I had no tech background. With my TechMaster Certificate in Data Analytics, I landed a data analyst job in just 5 months"

Take the First Step Toward Your Career in Data Analytics

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Application Form

Take the First Step Toward Your Career in Data Analytics

Application Form
  • Learn skills employers actually need
  • Build confidence with hands-on projects
  • Finance your education with flexible options
  • Graduate job-ready with expert support

FAQs

Data analysts gather, clean, and interpret data to support organizations in making data-driven decisions. They identify patterns, trends, and insights that help improve operations, boost performance, and guide strategy. By creating visualizations and reports, data analysts make complex information accessible and actionable for stakeholders.

A career in data analytics requires strong analytical skills, along with proficiency in data cleaning, processing, and visualization. Key technical skills include Excel, SQL, Python, and Power BI, alongside knowledge of statistical analysis. Effective communication skills are also essential to convey insights to non-technical team members and decision-makers.

Starting a career in data analytics without prior experience involves building foundational knowledge through online courses, certifications, and tutorials. Practicing with datasets and completing small projects for a portfolio can showcase your skills. Familiarizing yourself with essential tools like Excel, SQL, and Python is critical, as well as networking to find entry-level opportunities or internships.

Yes, data analytics is an excellent career path, with demand growing across industries such as finance, healthcare, e-commerce, and tech. It offers competitive salaries and diverse opportunities, along with the chance to work on impactful projects. As companies increasingly rely on data-driven strategies, skilled data analysts are becoming essential, making this a future-proof career choice.

Data analysts are in high demand across a range of industries, with finance, healthcare, technology, marketing, and retail among the top sectors hiring. Industries like e-commerce and travel also rely heavily on data to understand consumer behavior and optimize operations, making data analytics skills valuable and versatile across the job market.

While not all data analyst roles require programming, skills in languages like Python or R can be highly advantageous. Programming allows data analysts to perform advanced data manipulation, automate repetitive tasks, and conduct more in-depth analysis. Knowledge of these languages can set you apart and expand the scope of projects you can work on.

To gain experience, start by working on real-world projects, either through online platforms, volunteering, or freelance work. Practicing with datasets from open-source repositories can also help build your skills. Completing internships, certifications, or bootcamps focused on data analytics gives you hands-on experience with industry-standard tools and adds credibility to your resume.

Data analytics focuses on interpreting data to understand current trends, create visualizations, and provide insights that help solve business problems. Data science goes further, involving the development of models and algorithms to predict future trends and patterns. Data science often requires deeper knowledge of machine learning and programming, making it a more advanced and technical field.