Google Advanced 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 Advanced Data Analytics Professional

Job-Oriented Training with Placement Support in Kolkata

Course Overview

The Google Advanced Data Analytics Professional Certificate at CloudNet India, Kolkata is a high-level, career-focused program designed for learners who want to move beyond basic analytics into advanced data analysis, statistics, machine learning, and predictive modeling.

This program follows Google’s industry-recognized advanced curriculum and is enhanced by CloudNet India with instructor-led training, hands-on labs, real-world projects, portfolio development, interview preparation, and placement assistance. Learners gain practical experience using Python, SQL, statistics, data visualization, and machine learning techniques used by top companies.

The course prepares candidates for mid-level to advanced data roles in analytics, business intelligence, and data science.

Key Highlights

  • Google-aligned advanced analytics curriculum
  • Instructor-led classroom & online training (Kolkata)
  • Hands-on Python, SQL & Machine Learning projects
  • Real-world case studies & capstone project
  • Resume building, mock interviews & career guidance
  • Placement assistance with hiring partners
  • Portfolio-ready analytics & ML projects

Who Can Join This Course?

The Google Advanced Data Analytics Professional Certificate is ideal for:

  • Data Analysts wanting to upskill
  • IT professionals transitioning to Data Science
  • Engineering & Science graduates (BTech, MTech, BSc, MSc)
  • MCA, MBA (Analytics/Finance/Operations) professionals
  • Professionals with basic analytics or SQL knowledge
  • Working professionals seeking career growth in analytics

Prerequisites

  • Basic understanding of data analytics
  • Familiarity with spreadsheets or SQL (recommended)
  • Logical thinking and interest in data & statistics

Job Roles After Completion

After completing this program, candidates can apply for roles such as:

  • Advanced Data Analyst
  • Senior Data Analyst
  • Business Intelligence Analyst
  • Data Scientist (Entry-Level / Associate)
  • Machine Learning Analyst
  • Product/Data Insights Analyst
  • Analytics Consultant

Placement Support by CloudNet India, Kolkata

CloudNet India provides structured job-oriented placement support, including:

  • Resume & GitHub portfolio creation
  • LinkedIn profile optimization
  • Technical & HR mock interviews
  • Case-study interview preparation
  • Internship & job referrals
  • Career mentoring & job-readiness workshops

Placement assistance is provided based on candidate performance, attendance, and market demand.

Tools & Technologies Covered

  • Python
  • Pandas, NumPy, Matplotlib, Seaborn
  • SQL (MySQL / PostgreSQL)
  • Machine Learning fundamentals
  • Statistical analysis techniques

Certification

  • Google Advanced Data Analytics Professional Course Completion Certificate
  • Industry-recognized digital credential
  • Shareable certificate for LinkedIn & resumes

Why Choose CloudNet India, Kolkata?

  • Job-focused analytics training
  • Experienced instructors & mentors
  • Practical, project-based learning
  • Strong placement support ecosystem
  • Classroom & online learning flexibility

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 Advanced Data Analytics Professional Course Kolkata

Module 1: Foundations of Advanced Data Analytics

  • Advanced role of a Data Analyst
  • Analytics vs Data Science
  • Data-driven decision frameworks
  • Business problem translation to data problems

Module 2: Data Exploration & Statistical Analysis

  • Descriptive & inferential statistics
  • Probability distributions
  • Sampling techniques
  • Hypothesis testing
  • Confidence intervals
  • Correlation & regression concepts

Module 3: Data Analysis Using Python

  • Python fundamentals for analytics
  • NumPy for numerical computing
  • Pandas for data manipulation
  • Data cleaning & preprocessing
  • Exploratory Data Analysis (EDA)
  • Feature engineering basics

Module 4: Data Visualization & Storytelling

  • Advanced visualization principles
  • Matplotlib & Seaborn
  • Creating insights-driven dashboards
  • Data storytelling for business decisions
  • Presentation techniques

Module 5: SQL for Advanced Analytics

  • Advanced SQL queries
  • Joins, subqueries & CTEs
  • Window functions
  • Performance optimization
  • SQL use cases in analytics & reporting

Module 6: Regression & Predictive Modeling

  • Linear regression
  • Multiple regression
  • Model assumptions
  • Model evaluation metrics
  • Business use cases for regression

Module 7: Machine Learning Foundations

  • Introduction to Machine Learning
  • Supervised vs Unsupervised learning
  • Classification algorithms
  • Clustering techniques
  • Model training & validation
  • Overfitting & underfitting

Module 8: Decision Making & Analytics Ethics

  • Data-driven business decisions
  • Bias & fairness in analytics
  • Responsible AI practices
  • Ethical considerations in ML

Module 9: Capstone Project – Advanced Analytics Case Study

    • Real-world industry dataset
    • Data cleaning & exploration
    • Statistical analysis & ML modeling
    • Insight generation & business recommendations
    • Final project presentation & portfolio

       

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