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Become a Data Analyst in 5 Months

Data Analytics Course in Zima Learn to Ask Better Questions of Your Data

Every business today sits on a goldmine of data — but most don't know how to extract value from it. That's where you come in. Our Data Analytics course in Zima teaches you to clean, analyze, and interpret data so you can help organizations make smarter, faster decisions.

📊 Excel (Advanced) 🐍 Python (Pandas) 📈 Power BI 📉 Tableau 🗄️ SQL 📊 Statistics
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⭐ 4.9/5 Google ⭐ 4.8/5 JustDial
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⏳ Limited seats available for this batch

Our Students are Working In

17+

Years of Excellence

15000+

Students Trained

100%

Job Assistance

10+

Live Projects

Course Curriculum — From Zero to Job-Ready

Every module ends with a real-world project. You learn by doing, not just watching.

  • What is Data Analytics? Understanding the Data Lifecycle
  • Types of Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
  • The Data Analytics Process: Ask, Prepare, Process, Analyze, Share, Act
  • Real-World Case Studies: How companies use analytics to grow
  • Understanding Data Sources: Databases, Spreadsheets, APIs, Web Scraping
  • Data Types & Structures: Structured vs Unstructured, Quantitative vs Qualitative
  • Introduction to the Analytics Toolkit (Excel, SQL, Python, Power BI, Tableau)
  • Setting Up Your Environment: Installing necessary software
  • Data Ethics & Privacy — What You Can and Cannot Do
  • Common Analytics Challenges and How to Overcome Them
  • 🎯 Mini Project: Identify business problems that data can solve

  • Excel Beyond the Basics — Moving Past Simple Spreadsheets
  • Advanced Formulas: VLOOKUP, XLOOKUP, INDEX-MATCH, IF Functions
  • Text Functions: CONCATENATE, LEFT, RIGHT, MID, TRIM, SUBSTITUTE
  • Date & Time Functions: DATEDIF, NETWORKDAYS, EOMONTH
  • Data Cleaning in Excel: Remove Duplicates, Find & Replace, Text to Columns
  • Conditional Formatting — Highlight What Matters
  • Pivot Tables & Pivot Charts — Summarize Thousands of Rows in Seconds
  • Power Query — The Secret Weapon for Data Transformation
  • What-If Analysis: Scenario Manager, Goal Seek, Data Tables
  • Excel Dashboards — Creating Interactive Reports
  • Keyboard Shortcuts That 10x Your Speed
  • 🎯 Project: Build a Sales Performance Dashboard in Excel

  • Why Python? — The Most Popular Language for Data Analytics
  • Python Basics: Variables, Data Types, Lists, Dictionaries, Loops, Functions
  • Working with Jupyter Notebook — Your Interactive Coding Environment
  • NumPy Fundamentals: Arrays and Mathematical Operations
  • Pandas Series & DataFrames — The Heart of Data Analysis in Python
  • Loading Data: CSV, Excel, JSON, and Databases
  • Exploring Data: .head(), .info(), .describe(), .value_counts()
  • Filtering, Sorting, and Grouping Data with Pandas
  • Handling Missing Data — Drop, Fill, or Interpolate?
  • Merging, Joining, and Concatenating DataFrames
  • Data Aggregation with groupby() and pivot_table()
  • 🎯 Project: Analyze Customer Purchase Data with Pandas

  • Why Visualization Matters — The Science of Seeing Data
  • Choosing the Right Chart — Bar, Line, Scatter, Pie, Histogram, Box Plot
  • Matplotlib Basics — Your First Python Visualizations
  • Customizing Charts: Colors, Labels, Titles, Legends, Annotations
  • Seaborn — Statistical Visualizations That Look Beautiful
  • Heatmaps, Pair Plots, Violin Plots, and More
  • Plotly — Building Interactive Charts (Hover, Zoom, Click)
  • Plotly Dash — Turning Charts into Web Dashboards
  • Color Theory for Data Visualization — What Works and What Doesn't
  • Common Visualization Mistakes and How to Avoid Them
  • 🎯 Project: Create an Interactive Sales Dashboard with Plotly Dash

  • Power BI Desktop — Understanding the Interface
  • Connecting to Data Sources: Excel, SQL, Web, CSV, and More
  • Power Query — Transforming Data Without Writing Code
  • Data Modeling: Creating Relationships Between Tables
  • DAX Fundamentals: CALCULATE, FILTER, SUMX, AVERAGEX
  • Time Intelligence: TOTALYTD, SAMEPERIODLASTYEAR, DATEADD
  • Building Visuals: Bar Charts, Line Charts, Maps, Cards, Slicers
  • Custom Visuals from the AppSource Marketplace
  • Creating Interactive Dashboards with Bookmarks and Drillthrough
  • Power BI Service: Publishing, Sharing, and Collaboration
  • Row-Level Security — Showing Different Data to Different Users
  • 🎯 Project: Build an Executive Dashboard for a Retail Company

  • Why SQL Matters — Most Company Data Lives in Databases
  • Database Basics: Tables, Rows, Columns, Primary Keys, Foreign Keys
  • SELECT Statements — Retrieving the Data You Need
  • Filtering with WHERE — AND, OR, IN, BETWEEN, LIKE, NULL
  • Sorting with ORDER BY and Limiting with LIMIT
  • Aggregate Functions: COUNT, SUM, AVG, MIN, MAX
  • GROUP BY — Summarizing Data by Categories
  • JOINs: INNER, LEFT, RIGHT, FULL — Combining Tables
  • Subqueries and Common Table Expressions (CTEs)
  • Window Functions: ROW_NUMBER, RANK, LAG, LEAD
  • CASE Statements — Conditional Logic in SQL
  • 🎯 Project: Extract and Analyze Customer Order Data from a Database

  • Descriptive Statistics: Mean, Median, Mode, Range, Variance, Standard Deviation
  • Understanding Distributions — Normal, Skewed, Uniform, Bimodal
  • Percentiles, Quartiles, and Box Plots
  • Correlation vs Causation — The Most Common Mistake
  • Probability Basics — What Are the Chances?
  • Hypothesis Testing — Making Data-Driven Decisions
  • A/B Testing — How Companies Test Changes
  • P-Values and Statistical Significance — Explained Simply
  • Regression Analysis — Understanding Relationships in Data
  • 🎯 Project: Run an A/B Test Analysis on Marketing Data

  • Building Your Data Analytics Portfolio — GitHub, Tableau Public, Power BI Service
  • Creating Case Studies — Documenting Your Projects for Employers
  • Resume Writing for Data Roles — Keywords That Matter
  • LinkedIn Optimization — Attracting Recruiters
  • Freelancing as a Data Analyst — Platforms and Pricing
  • Interview Preparation — Technical Questions and Case Studies
  • Take-Home Assignments — How to Impress Employers
  • Networking in the Data Community
  • 🎯 Final Capstone: Complete End-to-End Data Analytics Project

Tools You'll Master

These are the exact tools used by Data Analysts at top companies worldwide

Advanced Excel

Pivot Tables, Power Query

Python

Pandas, NumPy

Power BI

DAX, Dashboards

Tableau

Interactive Viz

SQL

Joins, Subqueries

Matplotlib

Seaborn, Plotly

Why Companies Are Desperate for Data Analysts

The numbers don't lie. Here's why this is the right time to start your career in Data Analytics.

2.7 Million+

Job openings in Data Analytics (India)

The demand far exceeds supply. Companies are struggling to find qualified analysts.

₹4-8 LPA

Average starting salary for freshers

Within 2-3 years, experienced analysts earn ₹10-15 LPA and above.

30% Growth

Year-over-year demand increase

Data roles are growing 3x faster than other IT positions.

Think You're Not "Technical Enough"?

We've trained accountants, teachers, salespeople, and fresh graduates who became successful Data Analysts. You don't need a CS degree. You don't need to be a math wizard. You need curiosity and the willingness to learn. That's it.

Real Students, Real Career Transformations

Here's what happens when you invest in learning data analytics

Google
~ Riya Das
Before: Accountant | After: Data Analyst

"I was stuck in a routine accounting job. Excel was the only tool I knew. Today, I write Python, build Power BI dashboards, and just got a job with a 70% salary hike. This course changed my life. The instructors are patient and explain things until you actually understand."

Google
~ Subhajit Pal
Fresh Graduate | Hired Before Course Ended

"I was still in my last month of the course when a recruiter found my Tableau portfolio. Got hired as a Junior Data Analyst before I even got my certificate. The real-world projects made all the difference. Employers don't care about your degree — they care about what you can do."

Google
~ Anirban Ghosh
Marketing Manager → Analytics Lead

"I was great at campaigns but terrible at proving ROI. This course taught me SQL, Power BI, and how to present data that actually gets leadership attention. My budget increased by 40% after I started presenting with dashboards instead of spreadsheets."

Google
~ Priyanka Roy
Operations → Business Analyst (50% Hike)

"Worked in operations for 7 years. Felt stuck. Took this course while working full-time (weekend batch). The SQL and Power BI modules opened doors I didn't know existed. Made an internal switch to the analytics team with a 50% salary hike."

Google
~ Debjit Sen
Freelance Success Story

"Started freelancing while still in the course. Built dashboards for small businesses on Upwork. Within 3 months of completing, I was earning ₹60,000/month from analytics projects alone. The portfolio we built during the course was my ticket to getting clients."

Google
~ Srijita Mukherjee
Commerce Graduate → Data Analyst

"Commerce graduate. Never wrote a line of code in my life. Now I write Python, build Power BI dashboards, and just got hired at a fintech company. The instructors start from absolute zero. If I can do it, anyone can."

Your Learning Journey — Month by Month

A clear path from beginner to job-ready Data Analyst

Month 1
Excel & Foundations
Pivot Tables, Power Query
Month 2
Python & Pandas
Data Wrangling
Month 3
Power BI & Tableau
Dashboards & Viz
Month 4
SQL & Statistics
Data Retrieval
Month 5
Portfolio & Placement
Job Ready
Live Project-Based Learning
Build real dashboards, not toy examples
Industry Expert Instructors
Learn from working Data Analysts
Lifetime Access to Materials
Recordings, notes, and resources forever

Frequently Asked Questions — Answered Honestly

I have no coding or tech background. Can I still do this?

Absolutely. About 50% of our students come from non-tech backgrounds — commerce, arts, management, even hospitality. We start from absolute zero with Excel basics and Python fundamentals. Our instructors are patient and will guide you step by step. You'll be surprised how quickly you pick it up.

What's the job placement record?

Over 85% of our students get placed within 3 months of completing the course. We have a dedicated placement team that shares job openings, conducts mock interviews, and refers students to our hiring partners. But more importantly, your portfolio (the dashboards and projects you build) does most of the talking.

What kind of salary can I expect as a fresher?

Fresh Data Analysts in Zima typically earn ₹20,000 - ₹35,000 per month. With 1-2 years of experience, ₹40,000 - ₹70,000. Those who specialize in Power BI or Tableau often command higher salaries. Freelancers can earn ₹30,000 - ₹60,000 per project depending on complexity.

How is this different from online courses (Coursera, Udemy)?

Three big differences: (1) Live instructor — you can ask questions and get immediate answers, not pre-recorded videos. (2) Small batch size — you're not a number, you're a student who gets personal attention. (3) Portfolio feedback — we review your projects and give specific feedback on how to improve. Online courses leave you alone when you get stuck. We don't.

Can I take this course while working full-time?

Yes. We have weekend batches (Saturday & Sunday) and evening batches (6 PM - 8 PM). Most working professionals choose weekend batches. You'll need to dedicate 8-10 hours per week outside class for practice. Many of our successful students completed the course while working full-time.

Do I need a powerful laptop?

Not at all. A basic laptop with 4GB RAM and Windows 10 works perfectly. Power BI and Tableau run fine on standard machines. For Python, we use Google Colab (cloud-based) which runs in your browser. Don't let hardware stop you.

Is the certificate recognized?

Yes, our diploma certificate is recognized by many companies in India. But here's the truth — in data roles, your portfolio matters more than your certificate. That's why we focus heavily on projects. Your Tableau Public profile, GitHub repo, and Power BI dashboards will get you hired. The certificate is the icing on the cake.

What if I miss a class?

We record every live session. If you miss a class, you'll get access to the recording within 24 hours. For offline students, we can also arrange a make-up session. We understand life happens — we won't penalize you for it.

Can I pay the fees in instalments?

Yes. We offer flexible instalment plans — you can pay in 3 or 6 instalments. Speak with our counsellor for details. We believe quality education should be accessible.

What if I have more questions?

Reach out to us on WhatsApp at 8583959528. We'll answer your questions honestly — no pressure, no pushy sales. We want you to make the right decision for your career.

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