GoDigiInfotech: 's Best Tech Institute & Training Center

Become a Certified Data Analyst in Pune

Master the Art of Data Analytics with the Best Data Analyst Course in Pune

Unlock your career potential with our industry-oriented Data Analyst Course in Pune, designed for aspiring professionals ready to thrive in the data-driven world. This comprehensive program covers essential tools and techniques like Excel, SQL, Python, Power BI, Tableau, and advanced data visualization to transform raw data into actionable insights.

Led by industry experts, our course blends hands-on projects, real-time case studies, and placement support to prepare you for roles such as Data Analyst, Business Analyst, and Data Scientist. Whether you're a fresher or a working professional, this course will equip you with the skills top companies are looking for.

  • Not Satisfied With Trainers? 100% Money Back Gurentee
  • Best Industrial Experts
  • 100% Job Placement
  • Full Days Offline Internship
  • Mock Interviews
  • Resume Building
Best Fullstack Development Course Institute in

Beginner level

No prior experience required to become full-stack developer.

Best Fullstack Development Course Institute in

Study time

You should study approx 2-4 hours every day for better understanding.

Best Fullstack Development Course Institute in

Job Assistance Program

Enrol Today! Take first step towards your dream job.

Our Top Recruiter

What GodigiInfotech is going to teach you?


At GoDigiInfotech, best IT training institute, we teach many things in our Top Data Analyst Course in Pune – 100% Job Placement. We don't just cover the technologies, we also teach each and every topics with deep knowledge. In addition to that we have hands-on projects which are based on real-world applications so you can learn everything required for becoming an expert Top Data Analyst Course in Pune – 100% Job Placement under our experienced guidance.

Module 1:

Introduction to Data Analytics

  • What is Data Analytics?
    • Importance and use of data analytics in various industries.\
    • Types of data analysis (descriptive, diagnostic, predictive, prescriptive).
  • Roles and Responsibilities of a Data Analyst
  • Overview of Data Analytics Process

 

 

 

 

 

 

 

 

 

 

 

 

 

Module 2:

Data Collection and Data Types

  • Types of Data
    • Quantitative vs. Qualitative data.
    • Structured, Semi-structured, and Unstructured data.
  • Data Sources
    • Primary and secondary data.
    • Surveys, databases, APIs, and web scraping.
  • Introduction to Databases
    • Relational vs Non-relational databases.
    • Introduction to SQL for data retrieval.

Module 3:

Data Cleaning and Preparation

  • Data Preprocessing
    • Identifying missing values.
    • Handling outliers and inconsistencies.
  • Data Transformation
    • Normalization and standardization.
    • Feature encoding
  • Data Wrangling Tools
    • Using Pandas (Python) for data manipulation.
    • Data wrangling in Excel and Power BI.

Module 4:

Exploratory Data Analysis (EDA)

  • Statistical Overview
    • Descriptive statistics (mean, median, mode, standard deviation).
    • Probability distributions (Normal, Binomial, etc.).
  • Visualization Techniques
    • Using charts to represent data (e.g., histograms, box plots, scatter plots).
    • Introduction to Matplotlib and Seaborn (Python libraries).
    • Data visualization in Excel and Power BI.
  • Correlation and Covariance
    • Understanding relationships between variables.

Module 5:

Introduction to Statistics for Data Analysis

  • Basic Statistical Concepts
    • Probability theory and sampling.
    • Confidence intervals and hypothesis testing.
  • Inferential Statistics
    • T-tests, Chi-square tests, ANOVA.
    • Regression analysis (Linear, Logistic).
  • P-value and Statistical Significance

Module 6:

Data Visualization

  • Introduction to Data Visualization
    • Importance and principles of effective data visualization.
    • Common visualization types and when to use them.
  • Visualization Tools
    • Excel: Creating Pivot Tables, Charts, and Dashboards.
    • Power BI: Data visualization and interactive reporting.
    • Introduction to Tableau (Basic interface and charts).
  • Advanced Visualization Techniques
    • Interactive dashboards.
    • Geospatial data visualization.

Module 7:

Advanced Excel for Data Analysts

  • Excel Advanced Functions
    • Lookup functions (VLOOKUP, INDEX-MATCH).
    • Array formulas and data tables.
  • Pivot Tables and Pivot Charts
    • Creating dynamic reports.
  • Data Analysis Toolpak and Solver
    • Statistical tools and optimization.

Module 8:

SQL for Data Analysis

  • Introduction to SQL
    • Basic SQL queries (SELECT, WHERE, JOIN).
    • Aggregating data with GROUP BY, COUNT, AVG.
  • Advanced SQL Queries
    • Subqueries, Window functions (ROW_NUMBER(), RANK()).
    • Complex joins and UNION.
    • Data manipulation (INSERT, UPDATE, DELETE).
  • SQL for Data Cleaning and Transformation

Module 9:

Introduction to Python for Data Analytics

  • Python Overview
    • Setting up Python environment (Jupyter Notebook, Anaconda).
    • Python basics (variables, data types, loops, functions).
  • Data Analysis Libraries
    • Introduction to Pandas for data manipulation.
    • NumPy for numerical operations.
    • Data visualization using Matplotlib and Seaborn.
  • Working with DataFrames
    • Loading, cleaning, and transforming data with Pandas.

Module 10:

Statistical Modeling and Machine Learning

  • Overview of Machine Learning
    • Difference between supervised and unsupervised learning.
    • Basic concepts of regression and classification.
  • Regression Analysis
    • Simple linear regression.
    • Multiple linear regression.
  • Classification Algorithms
    • Logistic regression.
    • KNN (K-Nearest Neighbors).
    • Decision Trees and Random Forests.
  • Clustering Techniques
    • K-Means Clustering.

Module 11:

Business Intelligence and Reporting Tools

  • Power BI Basics
    • Creating reports, dashboards, and using Power Query.
    • Data sources and models in Power BI.
  • Tableau Basics
    • Introduction to Tableau interface.
    • Data connections, visualizations, and dashboards.
  • Reporting Best Practices
    • Effective storytelling with data.
    • Communicating findings with visualizations

Module 12:

Capstone Project

  • Project Design and Execution
    • Defining a problem statement.
    • Collecting and preparing data.
    • Data analysis, visualization, and reporting.
  • Presenting Insights
    • Communicating results effectively through storytelling.
    • Preparing and presenting final reports.
  • Real-life Case Studies
    • Analyzing datasets from real business scenarios (e.g., sales data, customer segmentation).

Module 13:

Soft Skills & Interview Preparation

  • Problem Solving – Developing critical thinking abilities necessary for solving complex coding challenges.
  • Collaboration – Working effectively within teams; an important skill in any development environment.
  • Interview Questions
  • Resume Preparation
  • How to Crack Interviews

Programming Languages & Tools Covered in Top Data Analyst Course in Pune – 100% Job Placement

Certificate You Will Get

GoDigi Certificate

Certificate of Completion

Upon successful completion of the course, you will receive an industry-recognized Certificate of Completion from GoDigiInfotech. This certificate validates your skills and knowledge in your chosen domain and showcases your commitment to professional growth. It can be shared on your resume, LinkedIn profile, and with potential employers to boost your job prospects and career opportunities.

  • Verified & Shareable
  • Recognized by Industry Experts
  • Adds Value to Your Professional Profile

Covered Projects

Project 1

Customer Relation Module/ Content management System

  • Departement Management
  • Role Management
  • User Management
  • Prospect Management
  • Task Management
  • API Integration
  • Dynamic Dashboard
  • Reports System
  • GIT & GIT Hub

Project 2

E-Commerce Website with Advanced search Technique & Live Tracking

  • Products Management
  • Dynamic Filters
  • User Management
  • Cart Management
  • Orders Management
  • API Integration
  • Dynamic Dashboard
  • Reports System
  • GIT & GIT Hub

Get verified and unlimited jobs in your email everyday. Visit JobsEager to apply.