Best Data Analyst Course in Pune – Certification |100% Placement

Cyber Sucess > Best Data Analyst Course in Pune – Certification |100% Placement
data analyst course in pune with placement 2025

Best Data Analytics Course in Pune with 100% Placement Support

We know how tough it can be for students starting their careers in IT. That’s why our Data Analytics Course in Pune is designed to do more than just teach concepts — it’s built to help you land the job you actually want. At Cyber Success, we offer a Data Analytics Course in Pune with Placement, including resume building, interview preparation, and real-world problem solving that helps you stand out in today’s competitive job market.

Whether you’re a fresher looking to enter the analytics field, a working professional aiming to specialize, or someone switching careers, our Best Data Analytics Course in Pune gives you a structured path from the fundamentals of statistics all the way to Excel, SQL, Power BI, Tableau, and Python — the exact tools Pune’s analytics teams hire for.

Along with hands-on lab access for practical experience, choosing Cyber Success — a trusted Data Analytics Institute in Pune — means choosing a learning journey focused entirely on your career growth. As the Best Data Analytics Course in Pune with Placement, we’re committed to supporting your success every step of the way.

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Why Cyber Success is the Best Data Analytics Training Institute in Pune in 2026

Cyber Success is recognized as one of the best IT training institutes for Data Analytics Classes in Pune, offering both online and offline batches with dedicated placement support. Our Data Analytics Course in Pune is designed around current industry requirements — covering Excel, SQL, Power BI, Tableau, and Python — making us a preferred choice for students searching for a Data Analytics Course in Pune with Placement near them.

With experienced trainers, hands-on project labs, and structured placement assistance, we help students build strong careers as data analysts. Whether you’re looking for the Best Data Analytics Course in Pune with certification, or hands-on training with real-time projects, Cyber Success delivers results.

Key Advantages of the Data Analytics Course in Pune: Cyber Success

  • A Comprehensive Study: Our Data Analytics Course in Pune covers a wide range of topics — statistics fundamentals, Excel, SQL, Power BI, Tableau, and Python for data analysis. This ensures students get a well-rounded education in one of the most in-demand analytics specializations.
  • Experienced Trainers: At Cyber Success, our expert trainers bring years of real-world experience working with business data and analytics dashboards, giving students practical knowledge, mentorship, and career-focused guidance beyond just theory.
  • Hands-on Projects: We believe in learning by doing. Our Data Analytics Classes in Pune are built around hands-on dashboards, SQL queries, and real-time project scenarios, so you apply what you learn immediately.
  • Job Placement Assistance: Completing our program gives you more than technical knowledge — with 100% placement support, dedicated career guidance, and strong industry connections, we help students land meaningful data analyst roles.

Overview

When businesses collect data from sales, customers, operations, and marketing, that data means very little without someone trained to interpret it. Often regarded as the backbone of smart business decisions, data analytics turns raw numbers into insights that drive strategy. To build this skill set, Data Analytics Classes in Pune have become increasingly important. Through our Data Analytics Course in Pune, students learn how to collect, clean, query, visualize, and interpret data so it can genuinely inform decisions.

If a business can’t make sense of its own data, it loses ground to competitors that can — which is exactly why data analytics has become such a critical, high-demand skill. As more companies build analytics-driven teams, more students and job seekers are choosing to enrol at a trusted Data Analytics Institute in Pune to strengthen their career prospects. Enrolling in a Data Analytics Course in Pune with Placement equips you with industry-ready skills and opens doors to high-demand opportunities across the IT sector.

Eligibility Criteria of the Data Analytics Course at Cyber Success, Pune

  • Graduates from any stream can take up this Data Analytics Course in Pune.
  • Along with professionals like Business Analysts, even freshers can take up this course.
  • Aspirants with basic knowledge of Excel or computers.
  • Professionals who want to augment their knowledge and move into a Data Analytics Institute in Pune from a non-technical background.

Features of Data Analytics

  • Data Integration: Merge data from various sources into a single dataset for thorough analysis. This promotes consistency and allows organizations to extract insights from different systems effortlessly.
  • Data Cleaning: Automate tasks; removing duplicates and addressing missing values to enhance data accuracy. This ensures that analytics are reliable by eliminating errors & inconsistencies in data.
  • Interactive Dashboards: Utilize real-time, customizable dashboards for flexible data exploration and reporting. It enable users to monitor performance metrics and obtain actionable insights immediately.
  • Data Visualization: Develop interactive charts, graphs, and dashboards to enhance data interpretation and support decision-making. These visual tools simplify complex data, making it more understandable and easier to share.
  • Statistical Analysis: Perform descriptive, diagnostic, and predictive analytics to reveal patterns and insights. This process helps businesses grasp trends, assess outcomes, and strategize effectively.
  • Automation: Optimize workflows by automating processes like data updates and report generation to save time. This approach reduces manual work, minimizes errors, and boosts overall efficiency.

Secure Your Future with In-Demand Job Opportunities from Data Analytics Classes in Pune at Cyber Success

Cyber Success is recognized as one of the leading Data Analytics Institutes in Pune, and for good reason — nearly every company today, from retail to fintech to healthcare, relies on data to guide decisions, and each of those decisions needs someone who can interpret the numbers. This makes data analytics one of the fastest-growing specializations in IT, with companies across Pune’s business hubs actively hiring analysts with hands-on SQL, Excel, and Power BI experience.

By enrolling in our Data Analytics Course in Pune, you position yourself for roles such as Data Analyst, Business Intelligence Analyst, Reporting Analyst, and Junior Data Scientist. Because the curriculum also covers Python and dashboarding tools, graduates are equally prepared for broader analytics roles — not just spreadsheet-based reporting.

As a trusted Data Analytics Institute in Pune, Cyber Success pairs this curriculum with resume building, mock interviews, and direct placement support, so the transition from classroom to job offer is as smooth as possible.

Your Path to Success: Cyber Success is the Perfect Destination for Your Data Analytics Course in Pune

Live Classroom

Our data analyst course in pune feature live sessions led by instructors, where your questions are answered through interactive discussions, practical demonstrations, and hands-on workshops

Hands-on Experience

Beginning with the fundamentals of Data analytics and Python, our structured approach builds a solid foundation, gradually progressing to more advanced topics for a smooth learning experience.

Curriculum

Our data analytics course in pune gives data analytics certification which is crafted by industry professionals, ensuring that each module is thorough, relevant, and in line with the latest developments in Industry.

Practical Experience

Our data analyst course in Pune focus on the most popular tools and technologies, such as Python, Power BI, Advance Excel, Tableau , and SQL ensuring you are prepared for lucrative positions.

100% original support

Cyber Success’s data analytics classes in Pune offers 100% placement support, including resume development, career advice, Mock interview, Group Discussion and interview coaching, to help you land your ideal job in the Data Field.

Practical Experience

At Cyber Success data analysis courses in pune, we prioritize hands-on learning by offering real-world scenarios and projects that connect theoretical knowledge with practical application.

Why Should You Opt for the Data Analytics Certification Course at Cyber Success Pune

software course Certificate

Choosing a certification-backed program at a Data Analytics Institute in Pune — whether through our online or offline Data Analytics Classes in Pune — is one of the smartest moves an aspiring analyst can make right now. A recognized certificate signals to recruiters that you can turn raw data into decision-ready insights using SQL, Excel, Power BI, and Tableau, not just recite definitions.

After completing the course, students receive a Cyber Success certification that adds credibility to their resume and helps them apply confidently for Data Analyst and Business Intelligence roles across Pune’s IT companies. As demand for skilled analysts keeps climbing alongside business intelligence adoption, this certification gives you a measurable edge in interviews and salary negotiations alike.

Cyber Success has built its reputation as a dependable Data Analytics Institute in Pune precisely because our certification is backed by real project work — not just classroom theory.

What Skills Will You Showcase After Data Analytics Classes at Cyber Success Pune?

You can expect to demonstrate a range of skills after completing Data Analytics Classes in Pune at Cyber Success, including:

  • Cleaning and preparing raw datasets using Excel and Python (Pandas, NumPy).
  • Writing SQL queries to extract, join, and aggregate data from relational databases.
  • Building interactive dashboards and reports using Power BI and Tableau.
  • Applying basic statistical methods — central tendency, probability, and hypothesis testing — to draw sound conclusions from data.

Why Data Analytics Classes in Pune

Data Analytics Classes in Pune have opened new opportunities for IT aspirants and career switchers alike. After completing this course, students can confidently demonstrate their skills in data cleaning, SQL querying, and dashboard building — both manually and using industry-standard BI tools. They gain hands-on experience with Excel, Power BI, Tableau, and Python, and much more. To gain this expertise, choosing the right Data Analytics Institute in Pune is crucial — that’s why Cyber Success is the top choice for students who want the Best Data Analytics Course in Pune done right.

The practices and knowledge offered at Cyber Success prepare students for well-paying jobs. With a solid mix of theory and practical experience, aspirants learn about real-world challenges in data analytics and how to tackle them effectively. The expert guidance provided in our Data Analytics Course in Pune with Placement ensures students are job-ready and can thrive in today’s competitive IT market.

Data Analytics Course

Data Analytics Course Key Features at Cyber Success Pune

Course Duration

90 Hours

60–70 Hours Our Data Analytics Course in Pune combines theory, hands-on labs, and real-time projects across a structured schedule.

Skill Level

Beginner to Advance

Beginner to Advanced Whether you’re starting from scratch or sharpening existing spreadsheet skills, the course adapts to your starting point.

Total Learners

1500+ Learners

1500+ Learners Trained across multiple batches with a strong course-completion and placement track record.

Assignments Duration

50 Hours

30+ Hours Trainers assign practical exercises on SQL queries, Excel models, and dashboard building throughout the course.

Classroom Options

Online-Offline

Online-Offline Choose between classroom-based or online sessions depending on what fits your schedule best.

Class Schedules

Weekday and weekend

Weekday and Weekend Morning and evening batches are available so working professionals and students can both join our Data Analytics Classes in Pune without disrupting their routine.

Fees

Competitive pricing

Competitive Pricing Affordable fees with flexible, installment-based payment options for our Data Analytics Course in Pune.

Scholarship Program

Campus Connect

Campus Connect Select candidates can avail scholarship support to make the course more accessible.

Trainer's Profile for Data Analytics Classes in Pune at Cyber Success

  • Industry Practitioners: Our trainers have hands-on experience building dashboards and reports for real production data, not just teaching from slides.
  • Deep Analytics Expertise: With strong command over SQL, Excel, Power BI, Tableau, and Python, they simplify complex analytical concepts into practical, easy-to-follow lessons.
  • Real Project Exposure: Trainers bring case studies from live business analytics projects, helping students understand data analytics the way it’s actually done in the industry.
  • Interview-Focused Mentorship: Beyond the syllabus, trainers prepare students for technical interviews with mock sessions, analytics case studies, and commonly asked questions.
  • Multi-Year Experience: Our team carries 8+ years of average industry experience and has trained thousands of students who now work as data analysts and BI analysts.
  • Approachable Teaching Style: Every doubt is addressed directly and clearly, ensuring students genuinely understand data analytics rather than just memorizing steps.
  •  

Cyber Success Data Analytics Course in Pune: Advance Syllabus

Download Curriculum

  1. Introduction To Python
  • What is Python?
  • Where and how it is used?
  • Why Python Over Others?
  • Alternative Python Implementations
  • Versions 3.X
  • Introduction of PYPΙ
  • Introduction of Pep8
  • Zen of Python
  1. Installation & Environment Setup
  • Installation of Python
  • Introduction to IDE (VS code, pycharm Jupiter-notebook)
  • Different ways to run Python
  • Code.
  • Write First Program
  • Multiline Print Statement and Comments in python
  1. Variables and Data Types
  • Variables

int, float, complex number

  • String

-Introduction, Indexing, Slicing and Iteration,

-String Functions.

  • List

-List Introduction, Iteration, slicing,

-List Functions, List Comprehension Tuple

-Introduction, Iterations, Function, Making tuples Multables

  • Dictionary

-Creation of Dictionaries, Iterations

-Dictionary Functions and Nested Dictionaries, Dictionary Comprehension Sets

-Introduction, Iterations, Set Methods

  1. Keywords and Operators
  • Keywords in Python
  • Operators in Python
  1. Operations with Data Types
  • String functions
  • List Comprehension
  • Dictionary Comprehension
  1. Program Flow Control Conditional Statements
  • Loops
  • Types of Loops
  • For Loops
  • While Loops
  • Loops with conditional statement
  • Infinite Loop
  • Nested Loops
  • Break and Continue Statement
  • Block Structure
  1. Functions
  • Introduction, Types, Parameters, arguments
  • Argument Types
  • Positional Argument
  • Default Argument
  • Keyword Argument
  • Lambda Functions
  • Inner Functions
  • Closures
  1. OOPs – Object Oriented Programming
  • What Is OOP?
  • Creating Our Own Objects
  • Attributes and Methods
  • init
  • Encapsulation
  • Abstraction
  • Private vs Public Variables
  • Inheritance
  • Polymorphism
  • super()
  1. Special Concepts
  • Iterator
  • Generator
  • Decorator
  1. Module & Packages
  • In Built
  • User Defined
  • Third Party
  1. Exception Handling
  • What is the Exception
  • What is Exception Handling?
  • try-except-finally blocks
  1. File Handling
  • What is File
  • Various File Handling Operations
  • File operation using.csv & txt
  1. Regular Expressions
  • Introduction to Regular Expression
  • Operation using the RegEx
  • Module

  1. Data Analysis with Pandas
  • Installing Jupyter Notebook
  • How to use Jupyter Notebook?
  • Introduction to Pandas
  • Installing Pandas
  • DataFrames I- Working with Columns
  • Pandas DataFrames-Working with
  • Rows and Columns
  • Pandas DataFrames: Filtering Data
  • Reading and Analysing CSV Files with Pandas
  • Reading Excel Files: GroupBy and
  • Other
  • Useful Operations
  • Working with Missing Data
  • Merging and Concatenating Files
  • in Pandas
  • Dealing with duplicates in Pandas
  1. NumPy
  • Introduction to NumPy
  • 1-D Array
  • 2-D Array
  • Indexing
  • Slicing
  • Concatenating
  • Broadcasting
  • Statistical functions
  • Arithmetic functions
  1. Data Visualization Using Matplotlib
  • Introduction to Python Visualization Libraries
  • Installing Matplotlib
  • Creating Scatter Plots
  • Creating Line Charts
  • Line Charts
  • Creating Basic Bar Charts
  • Creating Grouped and Stacked Bar Charts
  • Creating Pie Charts
  • Pie Charts
  1. Data Visualization Using Seaborn
  • Introduction to Python Visualization Libraries
  • Installing Seaborn
  • Creating Scatter Plots
  • Creating Line Charts
  • Creating different types of Charts in Seaborn

Basic SQL

  • Introduction to SQL
  • Installation
  • Data Types in MySQL
  • Clauses in MySQL
  • Operators in MySQL
  • Set Operations
  • Group By
  • Having Clause
  • Case Operators

Advanced SQL

  • Joins in Database
  • Stored Procedures
  • Window functions
  • Subqueries
  • Common Table Expressions
  • Views in MySQL

  1. Introduction to Excel for Data Analysis

Overview of Excel’s Data Analysis Capabilities

  • Understanding Excel’s Interface for Data Analysis
  • Installation and Setup for Data Analysis Tasks

Basic Excel Functions and Formulas for Data Manipulation

  1. Data Import and Data Cleaning in Excel
  • Importing Data from External Sources: CSV, Text Files, Databases, etc.
  • Understanding Data Types and Formatting
  • Data Cleaning Techniques: Re- moving Duplicates, Handling Missing Values, etc.

Using Text Functions for Data Cleaning and Transformation

  1. Data Analysis Tools in Excel
  • Introduction to Excel’s Data Analysis Tools (e.g., PivotTables, Power Query)
  • Creating PivotTables for Data Summarization and Analysis
  • Performing Data Analysis with PivotTables: Filtering, Sorting, Grouping, etc.
  • Using Conditional Formatting for Data Visualization
  1. Advanced Data Analysis Techniques

Advanced PivotTable Features: Slicers, Timelines, Calculated Fields, etc.

  • Introduction to Excel’s Statistical Functions
  • Performing Descriptive Statistics: Mean, Median, Standard Deviation, etc.
  • Introduction to Data Analysis with Excel’s What-If Analysis Tools
  1. Visualizing Data in Excel

Creating Basic Charts: Bar charts, Line charts, Pie charts, etc.

Customizing Charts for Clarity and Effectiveness

  • Using Sparklines for Data Visualization within Cells

Creating Interactive Dashboards with Excel Charts and Slicers

  1. Data Analysis with Excel Functions
  • Introduction to Excel Functions for Data Analysis (e.g., VLOOKUP, INDEX-MATCH)
  • Using Logical Functions for Data Analysis: IF, AND, OR, etc.
  • Performing Date and Time Analy- sis with Excel Functions

Using Lookup and Reference Functions for Data Analysis Tasks

  1. Data Analysis with Excel Add-Ins
  • Introduction to Excel Add-Ins for Data Analysis (e.g., Analysis Tool- Pak)
  • Performing Regression Analysis with Excel’s Data Analysis ToolPak
  • Forecasting Data Trends with Excel’s Forecasting Tools
  • Using Solver Add-In for Optimization and What-If Analysis
  1. Advanced Data Analysis Techniques
  • Introduction to Excel Macros for Data Analysis Automation
  • Creating Custom Functions with Excel VBA
  • Using Array Formulas for Complex Data Analysis Tasks
  • Advanced Data Analysis with Excel Power Query and Power Pivot
  1. Real-World Data Analysis Projects
  • Analyzing Sales Data and Trends
  • Financial Data Analysis and Re- porting
  • Marketing Campaign Analysis
  • HR Data Analysis: Employee Performance, Turnover, etc.
  • Supply Chain Analysis and Optimization
  1. Conclusion and Next Steps
  • Recap of Key Concepts Resources for Further Learning
  • Applying Excel Skills in Data Analysis Projects
  • Career Paths in Data Analysis using Excel
  • Certification Options for Excel Data Analysis

  • Introduction to Power BI
  • Overview of Power BI
  • Understanding the Power Bl eco- system
  • Installation and setup
  • Power BI Desktop vs. Power BI Service
  1. Getting Started with Power BI Desktop
  • Introduction to Power BI Desktop Interface
  • Importing Data into Power BI Desktop
  • Transforming Data using Power Query Editor
  • Data Modeling in Power BI Desk- top
  • Creating Relationships between Tables
  1. Data Visualization Basics
  • Introduction to Data Visualization Principles
  • Building Basic Visualizations: Bar charts, Line charts, Pie charts, etc.
  • Formatting Visualizations for Clarity
  • Using Filters and Slicers
  • Adding Interactivity with Drill-Downs and Drill-Throughs
  1. Advanced Data Visualization Techniques
  • Utilizing Custom Visuals
  • Creating Hierarchies and Groups
  • Implementing Conditional Formatting
  • Incorporating KPIs and Gauges
  • Working with Maps and Geo- graphic Data
  1. Advanced Data Modeling
  • Understanding DAX (Data Analysis Expressions)
  • DAX Functions: CALCULATE, FILTER, SUMX, etc.
  • Creating Calculated Columns and Measures
  • Time Intelligence Functions
  • Handling Hierarchies and Parent-Child Relationships
  1. Power BI Service and Collaboration
  • Introduction to Power BI Service
  • Publishing Reports and Dash- boards
  • Sharing and Collaborating on Power BI Content
  • Managing Security and Permissions
  • Setting up Data Gateways for On-Premises Data
  1. Data Connectivity and Integration
  • Connecting to Various Data
  • Sources: Excel, SQL Server, Share- Point, etc.
  • Importing vs. Direct Query vs. Live Connection
  • Refreshing Data Automatically
  • Integrating Power BI with Other Microsoft Tools (Excel, Teams, SharePoint)
  1. Advanced Topics
  • Power BI Embedded and API Integration
  • Power BI Premium Features
  • Performance Optimization Techniques
  • Advanced Data Analysis with R and Python
  • Introduction to Power BI Mobile App
  1. Real-World Projects and Case Studies
  • Building End-to-End Dashboards from Scratch
  • Analyzing Sales Data
  • Financial Reporting and Analysis
  • Marketing Analytics
  • Interactive Executive Dashboards
  1. Conclusion and Next Steps
  • Recap of Key Concepts
  • Resources for Further Learning
  • Career Paths in Power BI
  • Certification Options

  1. Introduction to Tableau
  • Overview of Tableau and its Capabilities
  • Understanding the Tableau Product Suite
  • Installation and Setup
  • Tableau Desktop vs. Tableau
  • Server vs. Tableau Online
  1. Getting Started with Tableau Desktop
  • Connecting to Data Sources
  • Basic Visualization Building Blocks: Marks, Dimensions, and Measures
  • Creating Basic Visualizations: Bar charts, Line charts, Scatter plots, etc.
  • Data Sorting and Filtering
  1. Advanced Data Visualization Techniques
  • Customizing Visualizations with Formatting and Labels
  • Using Sets, Groups, and Hierarchies
  • Implementing Calculated Fields and Parameters
  • Creating Interactive Dashboards
  • Incorporating Trend Lines, Reference Lines, and Forecasting
  1. Advanced Data Analysis with Tableau
  • Understanding Tableau’s Data Blending and Joins
  • Introduction to Table Calculations
  • Advanced Calculations using LOD (Level of Detail) Expressions
  • Performing Statistical Analysis within Tableau
  • Advanced Mapping Techniques
  1. Dashboard Design and Best Practices
  • Principles of Effective Dashboard Design
  • Designing Interactive Dashboards for User Engagement
  • Incorporating Action Filters and Highlighting
  • Dashboard Layouts and Format- ting
  • Mobile Optimization for Tableau Dashboards
  • Introduction to Tableau Desktop Interface
  • Tableau Server and Collabora- tion
  • Analyzing Financial Performance
  • Introduction to Tableau Server
  • Publishing Workbooks to Tableau Server
  • Sharing and Collaborating on Tableau Content
  • Managing User Permissions and Access
  • Setting up Data Extracts and Schedules
  1. Data Connectivity and Integration
  • Connecting to Various Data Sources: Excel, SQL Server, Sales- force, etc.
  • Using Data Blending for Data Inte- gration
  • Refreshing Data Automatically
  • Integrating Tableau with Other Tools (R, Python, Web Data Con- nectors)
  1. Advanced Topics
  • Tableau Prep: Data Preparation and Cleaning
  • Tableau Extensions for Advanced Functionality
  • Performance Optimization Tech- niques
  • Embedding Tableau Visualizations in Web Applications
  • Advanced Analytics with R and Python Integration
  1. Real-World Projects and Case Studies
  • Building Interactive Dashboards for Sales Analysis
  • Visualizing Customer Segmenta- tion and Market Trends
  • Exploring Social Media Analytics
  • Creating Executive Dashboards for Decision Making
  1. Conclusion and Next Steps
  • Recap of Key Concepts
  • Resources for Further Learning
  • Career Paths in Tableau
  • Certification Options

  1. Introduction to NoSQL databases
  • Overview of SQL vs NoSQL
  • Types of NoSQL databases
  • Advantages and disadvantages of NoSQL databases
  1. Understanding MongoDB architecture
  • Document-oriented data model
  • Collections and Documents
  • BSON (Binary JSON)
  1. Installing MongoDB
  • Installation on different platforms (Windows, macOS, Linux)
  • Configuration and setup
  1. CRUD operations in MongoDB
  • Inserting documents
  • Querying documents
  • Updating documents
  • Deleting documents
  1. Querying MongoDB
  • Basic queries
  • Query operators (comparison, logical, element, etc.)
  • Aggregation framework
  1. Indexing and Aggregation
  • Index types (single field, compound, multikey)
  • Performance optimization with indexing
  • Aggregation pipeline stages
  1. Data modeling in MongoDB
  • Schema design principles
  • Embedding vs Referencing
  • Modeling relationships (one-to-one, one-to-many, ma- ny-to-many)
  1. MongoDB Atlas – Cloud database hosting
  • Introduction to MongoDB Atlas
  • Creating and configuring clusters
  • Data backup and restore
  1. Security in MongoDB (Optional)

Authentication mechanisms (SCRAM, X.509 certificates)

Role-based access control (RBAC) Encryption in transit and at rest

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Success Stories - Placed Students after Completing the Data Analytics Training at Cyber Success Pune

Witness the success stories of students who’ve completed Data Analytics Classes in Pune with Cyber Success. They’ve already secured roles as Data Analysts and Business Intelligence Analysts with leading companies, starting with a minimum package of 3+ LPA.

Frequently Asked Questions

It is not mandatory, but knowing basic Excel and other technologies makes this course a cakewalk!
By the end of this course, you will gain complete knowledge of statistics, SQL, Excel, Power BI, Tableau, and Python for data analysis.
For freshers, this course is a milestone. For professionals, it’s a pathway to transition into a senior analytics role.
Yes, Cyber Success provides 100% placement assistance. Alongside this, we help design your resume, conduct mock interviews, and schedule interview calls.
Yes, we confer a certificate of course completion after evaluating your live projects and tests.
Yes, we conduct an online demo class. We’re confident that after the demo, you’ll want to join our Data Analytics Classes in Pune.
Yes, we’ve designed special batches specifically for working professionals.
We’ve structured our fees after extensive research. Contact us for detailed pricing.
Once enrolled, you’ll receive videos, study resources, and eBooks to strengthen your learning.
Yes, we do. Contact our team to know more.

In Their Own Words: Student Feedback and Experiences

Hear directly from students who chose Cyber Success as their Data Analytics Institute in Pune and successfully transitioned into analytics careers.

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