Data Analytics Professional

Professional Certification Training

We offer instructor-led online live virtual training and physical classroom training delivered by certified trainers and experienced industry professionals

About Course

Data Analytics Professional

Advanced, Job-Oriented & Placement-Focused Program

Offered by CloudNet India, Kolkata

Course Overview

The Data Analytics Professional Course (9 Months) from CloudNet India, Kolkata is an advanced, industry-aligned training program designed to prepare learners for end-to-end data analytics roles across multiple business domains.

This program goes beyond basics and focuses on real-world analytics, business problem-solving, advanced dashboards, and live projects, using the most in-demand tools:
Excel / Google Sheets, SQL (MySQL & PostgreSQL), Python (Pandas & Seaborn), Power BI, and Tableau.

With dedicated placement support, this course is ideal for learners aiming for full-time Data Analyst, Business Analyst, and BI Developer roles.

Who Can Join This Course?

This course is suitable for:

  • Graduates & postgraduates (BSc, BCom, BCA, BE, BTech, BA, MBA, MCA)
  • Working professionals seeking career growth or role transition
  • IT & Non-IT professionals
  • Data Analytics Essential / Associate course graduates
  • Finance, Sales, Marketing, HR & Operations professionals
  • MIS & reporting executives
  • Entrepreneurs & startup professionals
  • Anyone with basic computer knowledge and strong interest in analytics

🔹 Prior coding experience is helpful but not mandatory

Tools & Technologies Covered

Excel / Google Sheets (Advanced Business Analytics)

  • Advanced formulas & functions
  • Pivot tables, pivot charts & dashboards
  • MIS & executive reporting
  • Financial, sales & HR analytics use cases

SQL (MySQL & PostgreSQL)

  • Database design & data modeling
  • Advanced joins & subqueries
  • Window functions & performance tuning
  • Business reporting & analytics queries
  • Interview-oriented SQL problem solving

Python for Data Analytics

  • Python fundamentals for analytics
  • Pandas for data cleaning & transformation
  • NumPy for numerical analysis
  • Seaborn & Matplotlib for visualization
  • Exploratory Data Analysis (EDA)
  • Real-world analytics projects

Power BI (Advanced)

  • Power Query transformations
  • Data modeling & relationships
  • DAX (advanced calculations)
  • Interactive & executive dashboards
  • Publishing, sharing & report optimization

Tableau (Advanced)

  • Data connections & preparation
  • Advanced charts & calculated fields
  • Dashboard actions & storytelling
  • Performance optimization
  • Tableau Public portfolio creation

Job Roles After Completion

After completing the 9-month program, learners can apply for roles such as:

  • Data Analyst
  • Business Analyst
  • Power BI Developer
  • Tableau Developer
  • Analytics Consultant
  • Junior Data Scientist
  • Reporting & MIS Lead
  • Operations / Marketing Data Analyst

Practical Learning & Live Projects

  • Hands-on labs in every module
  • Industry-based case studies
  • Domain-specific analytics projects:
    • Sales & marketing analytics
    • Financial performance analysis
    • HR & attrition analytics
    • Customer behavior & churn analysis
  • End-to-end capstone project using all tools

Placement Support from CloudNet India

CloudNet India provides structured and dedicated placement assistance, including:

  • Resume & LinkedIn profile optimization
  • SQL, Python, Power BI & Tableau interview preparation
  • Real interview question practice
  • Mock technical & HR interviews
  • Business case interview training
  • Soft skills & communication sessions
  • Placement referrals & job alerts
  • Internship & live project support

Placement support available for Kolkata & PAN-India opportunities

Certification

  • CloudNet India – Data Analytics Professional Certificate
  • Project & capstone completion certificates
  • Guidance for external tool-based certifications

Why Choose CloudNet India, Kolkata?

  • Industry-experienced trainers
  • Job-oriented & updated curriculum
  • Strong hands-on & project focus
  • Small batch sizes for personal attention
  • Classroom, Online & Hybrid modes
  • Proven placement support ecosystem

Training Mode & Duration

  • Duration: 9 Months
  • Mode: Classroom (Kolkata) / Online / Hybrid
  • Batch Timing: Weekday & Weekend options

Key Features

You will get 100% job Assurance and life time e-placement support

classed taken by globally certified trainers

You will get 3 year Dedicated placement support

Courses are globally recognized & accredited

MODULE 1: Data Analytics Fundamentals

  • What is Data Analytics?
  • Types of Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
  • Data Analytics Lifecycle
  • Role of Data Analyst in Business
  • Industry use cases (Finance, Sales, Marketing, HR, Operations)
  • Tools overview: Excel, SQL, Python, Power BI, Tableau

MODULE 2: Excel / Google Sheets for Data Analytics

Basics to Advanced (Hands-on)

Excel Fundamentals

  • Data types & formatting
  • Cell referencing
  • Sorting & filtering
  • Conditional formatting

Formulas & Functions

  • Logical functions (IF, AND, OR)
  • Lookup functions (VLOOKUP, HLOOKUP, XLOOKUP)
  • Text functions
  • Date & time functions
  • Statistical functions

Data Analysis & Reporting

  • Pivot tables & pivot charts
  • Advanced charts & dashboards
  • What-if analysis
  • Data validation
  • MIS & business reports

Real-Time Use Cases

  • Sales analysis
  • Financial reporting
  • HR analytics dashboards

MODULE 3: SQL (MySQL & PostgreSQL)

Database & Querying Skills

SQL Fundamentals

  • Introduction to databases & RDBMS
  • MySQL & PostgreSQL installation
  • Data types & constraints
  • CRUD operations

SQL Queries

  • SELECT, WHERE, ORDER BY, GROUP BY, HAVING
  • Aggregate functions
  • Joins (INNER, LEFT, RIGHT, FULL)
  • Subqueries & nested queries
  • Views & indexes

Advanced SQL

  • Window functions
  • Case statements
  • Stored procedures (basics)
  • Performance optimization

Real-Time Practice

  • Business reporting queries
  • Interview-focused SQL questions
  • Live database projects

MODULE 4: Python for Data Analytics

Core Python

  • Python basics & syntax
  • Data types & control statements
  • Functions & modules

NumPy

  • Arrays & operations
  • Mathematical computations

Pandas

  • Series & DataFrames
  • Data loading (CSV, Excel, SQL)
  • Data cleaning & transformation
  • Handling missing values
  • Data merging & grouping

Data Visualization

  • Matplotlib fundamentals
  • Seaborn plots
  • Exploratory Data Analysis (EDA)

Practical Projects

  • Sales performance analysis
  • Customer data analytics
  • Financial dataset analysis

MODULE 5: Statistics for Data Analytics

  • Descriptive statistics
  • Probability basics
  • Data distributions
  • Correlation & covariance
  • Hypothesis testing
  • Business decision-making using statistics

MODULE 6: Power BI (Microsoft)

Power BI Fundamentals

  • Power BI Desktop overview
  • Connecting data sources
  • Data transformation using Power Query

Data Modeling

  • Relationships
  • Calculated columns & measures
  • DAX basics (SUM, CALCULATE, FILTER)

Visualization & Dashboards

  • Charts, tables & KPIs
  • Interactive dashboards
  • Slicers & filters
  • Publishing reports

Real-Time Use Cases

  • Sales dashboards
  • Executive MIS reports
  • Interview-based Power BI tasks

MODULE 7: Tableau

Tableau Basics

  • Tableau interface
  • Connecting data sources
  • Data blending & preparation

Visualization Techniques

  • Charts & graphs
  • Calculated fields
  • Filters & parameters
  • Dashboard actions

Advanced Tableau

  • Storytelling with data
  • Performance optimization
  • Tableau Public portfolio

MODULE 8: Business Analytics & Domain Projects

  • Sales & marketing analytics
  • Financial analytics
  • HR analytics
  • Supply chain & operations analytics
  • KPI design & business storytelling

MODULE 9: Live Projects & Case Studies

Capstone Projects (Choose Any)

  • Retail sales analysis dashboard
  • Marketing campaign performance analytics
  • Customer churn analysis
  • Financial performance reporting
  • HR attrition analytics

Tools used: Excel, SQL, Python, Power BI, Tableau

MODULE 10: Interview Preparation & Placement Support

  • Resume building (ATS-friendly)
  • SQL & Python interview questions
  • Power BI & Tableau interview scenarios
  • Mock technical interviews
  • Business case interview practice
  • Communication & presentation skills

Certification

  • CloudNet India – Professional Data Analytics Certificate
  • Project completion certificates

Placement Support

  • Dedicated placement assistance
  • Internship & live project support
  • Job referrals (Kolkata & PAN India)
  • Career guidance & mentorship
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