Freshers who want an analyst path
Start with structured tools and guided projects instead of trying to learn analytics from scattered tutorials.
Professional Data Analyst Certification Program
Launch your data analytics career with a program built around tools, projects, and analyst thinking.
Learn how to turn raw tables into dashboards, patterns, and decision-ready stories using Excel, SQL, Python, and visualization workflows.
Dashboard-first learning path
Case studies and capstone work
Certificate on completion
90
Program Hours
45
Guided Sessions
4.7
Course Rating
1,769
Learners Listed
Online Delivery
English + Hindi
Beginner to Intermediate
Program Fee Rs. 59,999
Revenue Pulse
+18.4%
Week-over-week growth
Query Accuracy
97.2%
Clean reporting layer
Dashboard Views
12.8k
Stakeholder-ready output
Trend Signal
Stable
Decision-ready summary
Multi-source trend view
Cohort analysis blocks
SQL LayerJoins, filters, grouped metrics
CorePython LayerCleaning, exploration, repeatability
AppliedDashboard LayerStorytelling for business teams
VisibleSQL Flow
Filter, join, aggregate, explain the pattern.Python Prep
Clean once. Reuse the workflow again.Insight Story
Numbers become a decision when the story is clear.Raw DataCSV, spreadsheets, tables, exports
Analysis LayerSQL + Python + business context
Decision OutputDashboards, insight summaries, next actions
Who This Is For
Built for people who want a clear path into data work
If you want a practical route into analytics, this program helps you build tool confidence, analytical thinking, and stronger proof for interviews and entry-level roles.
Career switchers from non-tech roles
Move from operations, support, finance, sales, or admin work into a more data-driven role with a clearer growth path.
Non-coders ready to learn step by step
You do not need to arrive as a programmer. You need patience, consistency, and the willingness to practice.
Commerce and business graduates
If you already think in terms of metrics, reports, or business questions, analytics gives you a stronger technical edge.
What You Become
Role directions this program can help you target
The aim is not just to “learn analytics.” The aim is to build enough skill proof to move toward analyst-style work where reports, metrics, dashboards, and insight communication matter.
Data Analyst
Reporting Analyst
BI Analyst
Operations Analyst
Junior Product Analyst
MIS / Dashboard Analyst
Career Framing
You build skills around analytics foundations, dashboards, visualization, projects, and job-ready thinking so your learning moves toward real analyst opportunities.
Tools You’ll Actually Use
Learn the working stack behind real analytics output
The goal is to become comfortable across the analyst workflow, not just memorize one tool. These are the areas the program keeps bringing together.
Excel and structured spreadsheet work
Useful for business logic, quick calculations, checks, pivots, and early-stage analysis that teams still rely on daily.
SQL for querying and aggregation
Learn how analysts pull filtered, grouped, and joined data from relational tables instead of depending on manual exports.
Python for repeatable data workflows
Move from one-off analysis toward cleaning, transformation, exploration, and more reusable reporting patterns.
Dashboards and visual reporting
Translate metrics into charts and dashboard views that leaders can scan quickly and act on with confidence.
Statistics that support decisions
Use descriptive statistics, hypothesis ideas, and inference basics to avoid weak conclusions from good-looking charts.
Dashboard storytelling and recommendations
The analyst skill is not only technical. It is also the ability to explain what changed, why it matters, and what should happen next.
What You Will Learn
A curriculum shaped around analyst workflows instead of isolated theory blocks
These modules take you from core data concepts into analysis, visualization, and project work so you can grow with a clearer structure and stronger confidence.
Introduction to Data Analysis
Learn the fundamentals of data analysis, including the types of data, data collection methods, and an overview of popular analysis tools.
Statistical Concepts for Data Analysis
Dive into key statistical concepts including mean, median, mode, variance, and standard deviation, and how they apply to data analysis.
Data Visualization Techniques
Understand various data visualization methods and tools to effectively represent your data and findings.
Introduction to Python for Data Analysis
Learn the basics of Python programming and how to use it for data analysis, including libraries like Pandas and NumPy.
Working with Data in Excel
Explore how to use Excel for data manipulation, analysis, and visualization with practical exercises.
SQL for Data Analysis
Get hands-on experience with SQL and learn how to query databases to extract and analyze data.
Machine Learning Basics
An introduction to machine learning concepts and how they can be applied in data analysis contexts.
Final Project: Data Analysis Case Study
Apply your learning to a comprehensive case study, culminating in a final project that showcases your skills as a data analyst.
Understand the end-to-end data analysis workflow: problem framing, data collection, cleaning, analysis, and reporting.
Perform data cleaning and preprocessing, including handling missing values, outliers, and transforming variables.
Extract, join, aggregate, and manipulate data using SQL for relational databases.
Use Python or R (pandas, dplyr, tidyverse) for data wrangling, analysis, and scripting reproducible workflows.
Conduct exploratory data analysis (EDA) to identify patterns, trends, correlations, and anomalies.
Apply core statistical concepts: probability, distributions, hypothesis testing, confidence intervals, and regression.
Portfolio And Projects
Build project-style proof instead of stopping at “course completed”
You should leave the program with work that shows how you solve business problems, analyze data, and communicate insights in a more professional way.
Capstone Direction
Sales Performance Dashboard
Clean revenue data, identify top-performing regions, and build a stakeholder-facing KPI dashboard.
Capstone Direction
Customer Retention Analysis
Track user behavior, segment high-risk cohorts, and turn patterns into actionable retention insights.
Capstone Direction
Hiring Funnel Diagnostic
Measure drop-offs across application stages and present recommendations through a clear analyst narrative.
How The Program Works
The learning flow goes from raw questions to analyst-ready outputs
You learn the same sequence analysts follow in real work: understand the problem, work the data, communicate the result, and build proof of your analytical thinking.
01
Start with business questions
Learn how analysts frame the problem before touching the data.
02
Prepare and clean the dataset
Handle missing values, structure tables, and make the data analysis-ready.
03
Analyze with SQL, Excel, and Python
Move from manual reports to repeatable analytical workflows.
04
Visualize and build dashboards
Turn tables into charts, summaries, and decision-ready reporting layers.
05
Present the story behind the numbers
Communicate findings clearly so non-technical stakeholders can act on them.
06
Strengthen portfolio readiness
Package projects and outputs into proof that supports analyst applications.
SkillsBiz Advantage
Why this program feels practical, structured, and career-focused
You get structured learning hours, guided sessions, bilingual support, project-based practice, and a program flow that helps you move from confusion to clarity.
90
Hours Structured
45
Lectures Listed
English + Hindi
Delivery Language
Yes
Brochure Access
90 hrs
90-hour structured learning path
A longer-form program for building comfort with the end-to-end analysis workflow, not just isolated tools.
45 sessions
45 guided lectures and sessions
Progress through structured coverage of foundations, analysis, visualization, and case-study work.
Applied
Practical projects and capstone work
The curriculum and reviews both point to assignments, case studies, and applied learning rather than theory alone.
English + Hindi
English + Hindi support
The course is listed for bilingual delivery, helping learners build comfort while moving into technical topics.
Guided
Trainer-led support and guidance
Learner reviews repeatedly highlight step-by-step explanations, doubt support, and practical clarity from trainers.
Included
Certificate on completion
The existing course FAQ confirms a completion certificate after you successfully finish the program requirements.
Program Snapshot
Get clear on what you will learn, build, and carry into interviews
Before you choose any analytics program, you want clarity on tools, projects, outcomes, and support. That clarity helps you decide faster and with more confidence.
For Freshers And Switchers
Move from scattered learning to a more structured path that helps you think and work like an analyst.
Project-Based Confidence
Build stronger confidence through modules, case studies, assignments, and work you can speak about in interviews.
Guidance Before You Join
If you want clarity before enrolling, you can request the brochure or speak with the counseling team first.
Upcoming Intakes
You can check the latest cohort details and ask about the next suitable intake based on your schedule.
Learner Proof
Hear from learners who built confidence through the program
These learner experiences reflect what many beginners want most: clearer concepts, guided practice, and more confidence with real analytics work.
Frequently Asked Questions
Clear the practical doubts before you request the brochure
These answers cover the practical questions most learners ask before joining, so you can decide with less confusion.
Is this data analytics program suitable for beginners?
Is this data analytics program suitable for beginners?
Yes. The program is well suited for freshers and career switchers because it follows a structured, step-by-step learning path. If you are willing to practice consistently, you can build confidence from the basics upward.
Which tools will I work with in the program?
Which tools will I work with in the program?
The course content covers Excel, SQL, Python, statistics, data visualization, dashboards, and analyst-style reporting workflows.
Will there be projects or case studies?
Will there be projects or case studies?
Yes. The curriculum includes a case-study style final project, and learner reviews highlight practical assignments and applied work as a major part of the experience.
Will I receive a certificate after completion?
Will I receive a certificate after completion?
Yes. You receive a certificate after successfully completing the program requirements.
What language is the course delivered in?
What language is the course delivered in?
The program is offered with support in English and Hindi.
How is the course delivered?
How is the course delivered?
The program is delivered online through structured lessons, practical exercises, guided case studies, and trainer support.
Batch / Next Cohort
Check the live cohort state before you commit
Check the latest cohort timing here, and if the next intake is still being finalized, request an update directly from the team.
Cohort Scheduling In Progress
New data analytics cohorts are being aligned. Request the next intake details directly from the counseling team.
The next intake is currently being finalized. Share your details and the team can update you with dates, schedule options, and complete program guidance as soon as the cohort opens.
Ask about next start date
Confirm preferred schedule
Get fee + brochure details
90
Program Hours
45
Guided Sessions
English + Hindi
Delivery Language
Final CTA
See the full program structure before you decide
Request the brochure for the detailed course breakdown, or book counseling if you want help deciding whether this program fits your background, time, and goals.