Data Science Course in Pune

Master the Art of Data Science with Data Science Course in Pune at Cyber Success

In today’s era of a data-driven business world, businesses in every sector are using Data Science to drive their growth, make informed decisions and stay ahead of the competitive landscape. The importance of Data Science professional skills is growing rapidly. The professional Data Scientist uses data science to drive innovation, improve decision-making, and gain competitive advantage. At Cyber Success IT Training Institute, we offer the Data Science Course in Pune. Our Data Science Classes is carefully designed to give you the skills, abilities and hands-on skills you need to excel in this ever-evolving industry.

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Significance of Data Science by Cyber Success's Data Science Classes in Pune

Data Scientist analyzes raw data to identify valuable insights, patterns and trends that can guide strategic decision making. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data. At Cyber Success IT Training Institute, we are offering a Data Science Course in Pune covering all concepts from basic to advanced techniques for being a data expert. Experienced Data Science professionals can use advanced analytical tools and techniques to turn big data into actionable intelligence. This enables organizations to increase productivity, increase profitability, and achieve success. Data science cover a range of industries such as finance, healthcare, commerce and e-commerce, emphasizing the importance of enrolling in our Data Science Classes in Pune. Whether it’s optimizing marketing strategies, improving customer experience, streamlining operations, or identifying new revenue streams, our Data Science Course highlights the importance of data science for businesses with emphasis on all scales.

Key Advantages of the Data Science Course at Cyber Success, Pune

1. Advanced Learning:

Our Data Science course in Pune covers a wide range of topics, like Python, SQL, AI, NPL, Machine Learning, and Data Visualization like Power BI, Tableau, MongoDB, and EDA, data cleaning, deep learning etc. Our Data Science Course will provide a solid foundation at the beginning concepts and strategies necessary for success in.


In our Data Science Course, we emphasize hands-on learning through practical activities and projects. This practical approach helps you apply theoretical skills to real-world situations, increasing your practical knowledge and confidence in data science.

3.Relevant Industry Knowledge:

Our Data Science Course’s curriculum has been developed with industry professionals to ensure it is aligned with current industry trends and requirements. You will learn the latest tools, technologies and techniques used in the field, preparing you for real world challenges.

4.Individual Guidance:

Each student receives personal guidance and advice from experienced trainers throughout the Data Science Course. Whether you need help understanding complex concepts or business development guidance, our consultants are committed to success.

5.Placement Support:

We offer comprehensive career support to help you to make a successful career in data science. From resume building and interview preparation to placement and networking opportunities, we provide the resources and support you need to achieve your career goals.

6.Flexible Learning Options:

Our Data Science course offers flexible learning options, including classroom-based learning, online lectures and practical study. Whether you prefer structured classroom lessons or independent study, we welcome your lesson preferences and scheduling.

Eligibility Requirements for the Data Science Course

  • Educational background:

To enroll in our Data Science Course in Pune, at least a Bachelor’s degree in computer science, statistics, mathematics, engineering, or related is preferred.

  • Basic accounting and statistical skills:

Students should have proficiency in statistics, statistics, and probability theory to understand the advanced analytical techniques covered in the data science course.

  • Functional Skills:

While familiarity with Python, SQL, and other programming languages ​​is beneficial, even beginners willing to learn are welcome to join our Data Science classes.

  • Research skills:

Strong analytical and problem- solving skills are critical for data interpretation, pattern identification, and meaningful insights in data science.

  • Communication skills:

Effective oral and written communication is beneficial in the presentation of research findings and collaboration among project stakeholders.

Key Features of the Data Science Classes in Pune at Cyber Success

Why Cyber Success’s Data Science Course Stands Out in Pune, India

In our Data Science Course in Pune, we offer advanced training that is designed to equip individuals with the skills and knowledge needed to excel in the field of data science. Here’s why our Data Science Course is considered the best in Pune:

1. Python programming language (Pandas Library and NumPy):

Panda, NumPy libraries of Python Programming
Data Manipulation with Python levering Pandas and NumPy

Python is widely recognized as one of the most versatile and powerful programming languages in data science. Python’s simplicity, readability, and extensive libraries make it ideal for use, editing, and analysis. Learning Python is essential for automating tasks, performing complex calculations, and creating custom scripts and applications for data processing. The Pandas and NumPy libraries are especially useful for data analysts:

  • Pandas: This library provides efficient data structures and tools for working with structured (labeled) data, making it an essential tool for data analysts. It enables efficient data manipulation, cleaning, and transformation, making it a fundamental tool for data science.
  • NumPy: Important for scientific calculations and numerical applications NumPy provides support for large multidimensional arrays and matrices with large collections of efficient mathematical functions.

2. Advanced Excel and SQL (Structured Query Language):

Advanced Excel and SQL for Data Science
Mastering SQL, Excel Database for Data Science

Advanced Excel: Excel is a widely used and industry standard tool for organizing, analyzing and visualizing data. It provides an easy-to-use interface and a wide range of functions and features that enable efficient data manipulation, auditing and organization. Advanced Excel skills, such as using pivot tables, VBA macros, and advanced formulas, are invaluable to data analysts as they simplify operations and increase productivity.

Advanced SQL: SQL is a language used to interact with relational databases, which is a staple in most organizations’ data warehouse infrastructure. SQL knowledge is important for data analysts because it allows them to extract, manipulate and analyze data stored in a database. SQL enables you to capture, filter, organize, and aggregate data efficiently, making it an essential skill for working with big data and complex queries.

3. Visualization Tools:

PowerBI, Tableau, EDA properties of Data Science!
mastering Data-driven visualization Power BI, Tableau, EDA the story behind the Number

Data visualization is essential to effectively communicate insights and findings. Presenting hard data is critical to creating engaging and informative charts, graphs, and dashboards. Our Data Science course includes visualization tools e.g.

  • Power BI: A powerful business intelligence and data visualization tool that enables analysts to create interactive and visually stunning reports and dashboards.
  • Tableau: Another popular data visualization tool that allows analysts to create interactive and highly visual dashboards, charts, and reports.
  • Exploratory Data Analysis (EDA): EDA is a method of analyzing and visualizing data to understand its fundamental characteristics. It summarizes the main features of the data set, often using mathematical modeling and other data visualization techniques.

4. MongoDB:

Harness the Potential of MongoDB for seamless Data Management
MongoDB for seamless Data Management

MongoDB is a popular NoSQL database management system that stores data in flexible documents, such as JSON with dynamic schemas. It is particularly useful for processing large amounts of unstructured or semi-structured data, making it a valuable tool for data analysts working with data sources.

5. Mastering Learning Languages:

With AI, ML,NPL shaping the future of Data Science
With AI, ML,NPL shaping the future of Data Science

With a comprehensive understanding of how AI, ML, and NLP can be applied to solve real-world problems and extract valuable insights from data.

  • Artificial Intelligence (AI): In data science, AI is used to develop algorithms and models that can analyze data, make predictions and automate operations.
  • Machine Learning (ML): ML is a subset of AI that focuses on algorithms and mathematical models that enable computers to make predictions or decisions based on data ML is used in data science to develop predictive models and make sense of large data sets in.
  • Natural Language Processing (NLP): In data science, Natural language processing (NLP) is a machine learning technology that gives computers the ability to interpret, manipulate, and comprehend human language.

6. Statistics:

From Statistics to Insights Enhancing Data Science Proficiency
From Statistics to Insights Enhancing Data Science Proficiency
Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data. Statistics plays a vital role in data science, enabling analysts to identify patterns, relationships, and trends in large and complex data sets. Using statistical methods, data scientists can extract insights and reliably interpret results.

7. Data cleaning:

Deep Cleaning for Data Science
Data Cleaning For Data Science
Data cleaning is the process of identifying and correcting errors, inconsistencies and missing values in data processing. Data cleaning includes tasks such as eliminating duplicates, dealing with missing data, and standardizing data structures.

8. Deep learning:

Deep leaning for Data Science
Deep Learning For Data Science

Deep learning is a subset of machine learning that focuses on building and training muscles. Deep learning has been used in a variety of applications, including image recognition, speech recognition, and natural language processing.

By acquiring these essential elements in a data science course, individuals will develop the skills necessary to effectively gather, process, analyze, and communicate data-driven insights. These skills are increasingly important in today’s data-driven world, where organizations rely on data-driven decision-making to gain competitive advantage. To know more Contact Us.

The Transformative Power of Data Science Across Industries

Transforming Business Horizons: The Vital Role of Data Science in Catalyzing Innovation, Streamlining Operations, and Fueling Progress across Different Sectors, with Cyber Success’s Data Science Course in Pune Leading the Way. Data science is not just a trend; it’s a transformative force reshaping industries globally. In sectors ranging from finance to healthcare and beyond, data science plays a pivotal role in fostering innovation, enhancing operational efficiency, and driving progress. Here’s a detailed look at how various industries leverage the capabilities of data science:
Job Opportunities with Data Science Course in Pune1

Chart Your Course to Data Science Success: Choose Cyber Success in Pune

Interactive classroom:

Enjoy live classroom sessions in our Data Science course in Pune, where our expert trainers clarify your doubts, facilitate group discussions and give practical demonstrations. This interactive learning environment ensures a deep understanding of concepts and effective application of data analysis.

Fundamental Learning:

Our Data Science certification course begins with the basics, providing a step-by-step learning path that equips you with essential skills. As you progress, you'll advance to more advanced topics, ensuring a strong foundation for your data science journey.

Advanced Learning:

Our Data Science Classes syllabus has been carefully designed by industry experts, so that you get a detailed and clear explanation for all your questions. We cover the latest tools, techniques and best practices, and equip you with the knowledge and skills needed to be productive.

Professional Development:

Our Data Science certification courses are designed to enhance skills that are highly valued in the industry. Upon completion of our program, you will be prepared to tackle complex real-world challenges and capitalize on opportunities in the dynamic field of data science.

Hands-On Learning:

We emphasize practical learning, bridging the gap between theory and real-world application through hands-on projects. This approach ensures that you develop the necessary skills to confidently analyze complex data and solve real-world problems.

Why Choose the Data Science Certification Course at Cyber Success Pune?

cyber success certificate

Enrolling in our Data Science Certificate Course in Pune at Cyber Success in Pune, whether through an online class or office batches, opens doors to a promising career path, exposes your skills in data science and enhances your prospects in the IT sector. Our Data Science Certificate demonstrates your commitment to professional development, which sets you apart as an experienced Data Scientist. In today’s rapidly evolving technological environment, such a recognized credential is a valuable asset, giving you a competitive edge in job interviews and boosting your career. Whether you are starting your journey in data or looking to enhance your current skills, our Data Science Certificate Course at Cyber Success Pune offers a pathway to a rewarding and successful career in IT.

The benefits of getting a Data Science certificate through our training program in Pune are extensive and tailored to your career goals and aspirations. Through our in-person Data Science Certification Course in Pune, you will validate your skills and get strategic advantages while entering the job market.

Known for its versatility and importance across industries, as evidenced by its use in companies such as Google, Netflix and Uber, it is in high demand among professionals Training certifications not only build credibility but also open doors for many career opportunities. With data science certifications becoming increasingly recognized worldwide, employers often prioritize candidates with these credentials when making hiring decisions or considering promotions, and they make smart money to grow your careers.

After completing the Data Science course at Cyber Success Pune, you'll showcase a range of valuable skills:

  • Data Analysis Skills:
    • Proficiency in statistical analysis techniques such as hypothesis testing, regression analysis, and descriptive statistics.
    • An important part of learning is being able to analyze data and gain insights.

  • Data Visualization Skills:
    • Proficiency in data visualization tools such as Tableau and Power BI.
    • Application of graphical techniques for visualization.

  • Functional Skills:
    • Strong programming skills in Python, including use of libraries such as Pandas for data manipulation and Seaborn for data visualization.

  • Database management capabilities:
    • Develops SQL skills to query and maintain relational databases.
    • MongoDB and other known NoSQL databases for unstructured data processing.

  • Work Experience:
  •  Ability to translate data insights into actionable business strategies.
  • Understanding how data analysis contributes to organizational goals.

Completing a Data Science course at Cyber ​​Success will provide you with strong skills that prepare you for a career in Data Science and enable you to excel in industries where data-driven decision-making is critical.

Data Science Classes Key Features at Cyber Success Pune

Course Duration

50 Hours

Enhance your learning experience with up to 50 hours of hands-on learning. Our specialist tutors will provide individualized work tailored to your skills and learning objectives, ensuring maximum engagement and skills development.

Skill Level

Beginner to Advance

From beginners to advanced, our Data Science Course caters to students of all levels. Whether you are starting from scratch or looking to advance your skills, our training program is designed to meet your individual needs and goals.

Total Learners

2000+ Learners

Join over 2000 students who have already benefited from our Data Science Course. With over 100 batches completed and 100% completion, Cyber Success is your trusted partner in data science education.

Assignments Duration

50 Hours

50 Hours Enhance your learning experience with hands-on assignments spanning 50 hours. Our expert trainers will provide personalized assignments tailored to your skill sets and learning objectives, ensuring maximum engagement and skill development.

Classroom Options


Enjoy the flexibility of choosing between online and offline classroom courses. Whether you prefer convenient distance learning or face-to-face meetings, Cyber Success meets your learning needs.

Class Schedules

Weekday and weekend

With a flexible curriculum offering weekday and weekend sessions, our data science courses meet the needs of professionals and students. Choose between morning or evening sessions to accommodate your busy schedule and balance studying with other commitments.


Competitive pricing

Take advantage of competitive pricing for our data science course fees, as well as on-site support to launch your career in data science. We offer flexible payment options, including payment plans, to ensure access for all students.


Campus Connect

Campus Connect Explore scholarship opportunities through our Campus Connect program, designed to support deserving candidates and alleviate the financial burden of the course. At Cyber Success, we’re committed to making quality education accessible to everyone.

Trainer’s Profile For Data Science Course in Pune in Cyber Success

  • Industry experts: Our trainers are experienced professionals with extensive experience in data science.
  • Advanced degree: Each teacher has an advanced degree in a related field such as mathematics, computer science, or data science.
  • Hands-on experience: With years of experience in data science industries, our instructors bring real-world insights to the classroom.
  • Certifications: Many of our instructors have industry certifications in data science, demonstrating their skills and commitment to excellence.
  • Teaching Experience: With exceptional teaching skills, our teachers are adept at simplifying complex concepts and ensuring that students understand them.
  • Individual Attention: Our teachers provide individualized attention to each student, addressing individual learning needs and providing a supportive learning environment.
  • Current curriculum: Keeping abreast of the latest trends and advancements in data science, our instructors ensure that the curriculum is relevant and up-to-date.
  • Career guidance: In addition to technical education, our professors provide valuable career guidance, helping to guide students on the path to a successful career in data science.
  • Passion for Education: Above all, our professors are passionate about education and dedicated to equipping students with the knowledge and skills they need to succeed in data science.

After completing our data science course, you will have the skills to navigate the complexities of data. Through in-depth training and practical experience, the data science course empowers individuals to enter the advanced world of data-driven decision-making. With appropriate instruction and hands-on activities, data science courses enable individuals to fully participate in data-driven decision-making Let’s explore how such courses can improve your knowledge and confidence in using data in reliability has improved.

Cyber Success Data Analytics Course in Pune: Syllabus

  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


Batch Schedule for Data Science Course in Pune

Cyber Success is one of the best Data Science Classes in Pune with 100% Job Assistance.

11 Jun

12 Jun

13 Jun

Success Stories - Placed Students after Completing the Java Training classes at Cyber Success Pune
Witness the success stories of our students who’ve just completed the Java Certification Course at Cyber Success. They’ve already secured their futures with leading companies, all starting with a minimum package of 3+ LPA!

Frequently Asked Questions

Typically, there are no strict prerequisites for beginners’ Java training. Basic knowledge of programming concepts can be helpful, but many courses are designed for those new to programming.

It depends on your capability. Some find it easy, whereas some pick it up effortlessly. But we apply a student-centric approach with which we impart complete support till you master the language.

You can start working as a Java Developer, Web Developer, Application Developer, Software Developer, or Web Programmer.

All the sessions are live in which we give importance to interactive sessions. We insist on students for group discussion.

Sure, it will give insights into how we conduct our classes. It will help you decide whether you have an interest in the subject matter.

The course fees and duration depend on the module you choose. For more details, you may contact us.

We conduct mock interviews as well as you will receive interview calls for a fresher and professional profiles. We will help you to design your resume.

Yes, you will get a certificate of course completion.

We know the challenges faced by working professionals, so we have special batches designed for them.

Cyber Success is equipped with the best mentors from the IT industry. They impart knowledge that complements the latest trends of the market.

In Their Own Words: Student Feedback and Experiences

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