Google Data Analytics 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

Google Data Analytics Professional 

Job-Oriented Training in Kolkata

Course Overview

The Google Data Analytics Professional Certificate offered by CloudNet India, Kolkata is a comprehensive, job-oriented program designed to help learners build in-demand data analytics skills using real-world tools and business scenarios. This course follows Google’s globally recognized curriculum and prepares students for entry-level to junior data analyst roles across industries.

Through hands-on projects, case studies, and guided labs, learners gain practical experience in data cleaning, analysis, visualization, and storytelling using tools such as Spreadsheets, SQL, R Programming, and Tableau. CloudNet India enhances the Google curriculum with instructor-led training, live projects, resume preparation, interview support, and placement assistance in Kolkata and PAN India.

This certification is ideal for freshers, graduates, and working professionals aiming to start or transition into a high-growth data analytics career.

Key Highlights

  • Google-aligned curriculum with industry relevance
  • Instructor-led training (Online & Classroom – Kolkata)
  • Hands-on labs, real business case studies
  • Portfolio-ready capstone project
  • Resume building & mock interview sessions
  • Placement assistance & career guidance
  • Beginner-friendly – no prior coding required

Who Can Join This Course?

The Google Data Analytics Professional Certificate is suitable for:

  • Fresh graduates from any discipline
  • BCA, BSc, BCom, BA, BTech, MCA, MBA students
  • Working professionals looking to switch careers
  • IT professionals upskilling into Data Analytics
  • Non-technical professionals (Sales, Finance, HR, Operations)
  • Entrepreneurs & business owners
  • Anyone interested in data-driven decision making

Prerequisites:

  • Basic computer knowledge
  • Logical thinking & problem-solving mindset
  • No prior experience in data analytics or programming is required

Job Roles After Completion

After completing this course, learners can apply for roles such as:

  • Junior Data Analyst
  • Data Analyst
  • Business Data Analyst
  • Operations Analyst
  • Marketing Analyst
  • Reporting Analyst
  • MIS Executive
  • Data Associate

Placement Support by CloudNet India

CloudNet India, Kolkata provides structured placement assistance, including:

  • Resume & LinkedIn profile optimization
  • Interview preparation (technical + HR rounds)
  • Mock interviews with industry experts
  • Career counseling & job readiness sessions
  • Internship & entry-level job referrals
  • Access to hiring partners & job alerts

Placement support is subject to candidate performance, attendance, and market conditions.

Why Choose CloudNet India, Kolkata?

  • Industry-aligned training
  • Experienced instructors & mentors
  • Job-oriented curriculum
  • Strong student success record
  • Affordable fees with flexible batches

Tools & Technologies Covered

  • Google Sheets / Microsoft Excel
  • SQL (MySQL / PostgreSQL)
  • R Programming
  • Tableau
  • Data Visualization Techniques

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

Google Data Analytics Professional Certificate Course

Module 1: Foundations of Data Analytics

  • What is Data Analytics?
  • Roles & responsibilities of a Data Analyst
  • Data-driven decision making
  • Types of data (Qualitative vs Quantitative)
  • Data lifecycle & analytics process

Module 2: Ask Questions to Make Data-Driven Decisions

  • Problem definition & business objectives
  • Stakeholder requirements
  • SMART questions
  • Analytical thinking framework
  • Data ethics & bias

Module 3: Prepare Data for Exploration

  • Data collection methods
  • Structured vs unstructured data
  • Data formats & sources
  • Data integrity & validation
  • Data storage concepts

Module 4: Process Data from Dirty to Clean

  • Data cleaning techniques
  • Handling missing & duplicate data
  • Data transformation
  • Using spreadsheets for data cleaning
  • Introduction to SQL for data processing

Module 5: Analyze Data to Answer Questions

  • Exploratory data analysis (EDA)
  • Data sorting, filtering & aggregation
  • SQL queries (SELECT, WHERE, JOIN, GROUP BY)
  • Introduction to R programming
  • Data calculations & summaries

Module 6: Share Data Through Visualization

  • Data storytelling principles
  • Choosing the right visualizations
  • Charts, graphs & dashboards
  • Tableau basics
  • Creating impactful presentations

Module 7: Data Analysis with R Programming

  • R environment & RStudio
  • Data frames & vectors
  • Data manipulation using tidyverse
  • Data visualization using ggplot2
  • Statistical basics

Module 8: Capstone Project – Google Data Analytics Case Study

  • Real-world business scenario
  • Data cleaning, analysis & visualization
  • Insight generation & reporting
  • Final presentation & portfolio creation

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