Data Analytics Course in Pune

Elevate Your Analytical Skills with the Premier Data Analytics Course in Pune at Cyber Success

In today’s data-driven world, organizations across industries are harnessing the power of Data Analytics to drive growth, make informed decisions, and gain a competitive edge. The demand for skilled professionals in Data Analytics is skyrocketing, creating a wealth of opportunities for those with the right expertise. At the Cyber Success Data Analytics Course in Pune, we understand the critical role that Data Analytics plays in modern business operations. Our comprehensive Data Analytics Course is meticulously designed to equip you with the knowledge, skills, and practical experience needed to thrive in this dynamic field.

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Importance of Data Analytics by Cyber Success Data Analytics Course in Pune

Data analytics is the process of examining raw data to uncover valuable insights, patterns, and trends that can inform strategic decision-making. By leveraging advanced analytical techniques and tools, data analysts, especially those trained in our Data Analytics course in Pune, can transform vast amounts of information into actionable intelligence, driving organizations toward greater efficiency, profitability, and success. The applications of data analytics span numerous industries, including finance, healthcare, marketing, e-commerce, and beyond, making it imperative to acquire skills through our Data Analytics classes in Pune. From optimizing marketing campaigns and improving customer experiences to streamlining operations and identifying new revenue streams, data analytics is a game-changer for businesses of all sizes, emphasizing the significance of our Data Analytics course in Pune.

Key Advantages of the Data Analytics Course at Cyber Success

  1. Comprehensive Curriculum:
    • Our Data Analytics course covers a wide range of topics, including Excel, Python, SQL, NumPy, and Pand Libraries statistical analysis, and data visualization tools such as Power BI, Tablue, and MongoDB. You’ll gain a thorough understanding of the core concepts and techniques essential for success in the field.
  2. Hands-On Experience:
    • We prioritize hands-on learning through practical exercises, projects, and real-world case studies. This approach allows you to apply theoretical knowledge to practical scenarios, enhancing your skills and confidence in data analytics.
  3. Industry-Relevant Skills:
    • Our curriculum is designed in collaboration with industry experts to ensure alignment with current industry trends and requirements. You’ll learn the latest tools, technologies, and methodologies used in the field, preparing you for real-world challenges.
  4. Personalized Mentorship:
    • Each student receives personalized mentorship and guidance from experienced instructors throughout the course. Whether you need clarification on concepts or advice on career development, our mentors are dedicated to supporting your success.
  5. Career Placement Assistance:
    • We offer comprehensive career placement assistance to help you transition into a rewarding career in data analytics. From resume building and interview preparation to networking opportunities, we provide the resources and support you need to land your dream job.
  6. Flexible Learning Options:
    • Our Data Analytics course in Pune offers flexible learning options, including in-person classes, online lectures, and self-paced study materials. Whether you prefer structured classroom learning or independent study, we cater to your learning style and schedule.

Eligibility Criteria of the Data Analytics Course:

  • Educational Background:

To enroll in Data Analytics Classes in Pune at least a bachelor’s degree in a relevant field such as computer science, Commerce,  mathematics, statistics, engineering, or a related discipline is preferred.

  • Basic Understanding of Statistics and Mathematics:

For Data Analytics Classes students need proficiency in foundational concepts of statistics, mathematics, and probability theory to grasp advanced analytical techniques taught in the course.

  • Programming Skills:

Familiarity with programming languages such as Python, MongoDB, SQL, or others is advantageous. However, beginners with a willingness to learn are also welcome.

  • Analytical Aptitude:

Strong analytical and problem-solving skills are essential to interpret data, identify patterns, and derive meaningful insights.

  • Communication Skills:

Effective communication skills, both verbal and written, are beneficial for presenting analysis findings and collaborating with stakeholders.

  • Prior Experience (Optional):

While prior experience in data analytics or related fields is not mandatory, candidates with relevant work experience may have an advantage in grasping advanced concepts and applying them in practical scenarios.

Features of the Cyber Success Data Analytics Classes in Pune:

Why Cyber Succes’s Data Analytics Course is best in Pune, India

In our Data Analytics Classes in Pune, India, we give advanced course training. Let’s see its Importance. The Data Analytics course covers several essential topics that are crucial for individuals aspiring to build a career in the field of data analysis. Here’s the importance of each point mentioned:

1. Python Programming Language (Pandas Libraries and NumPy)

Data Analytics python
Data Analytics python mobile12

Python has emerged as one of the most popular and versatile programming languages for data analysis. Its simplicity, readability, and extensive libraries make it a powerful tool for data manipulation, cleaning, and analysis. Learning Python is essential as it allows you to automate tasks, perform complex calculations, and develop custom scripts and applications for data processing. Furthermore, many advanced data analysis techniques, such as machine learning and deep learning, heavily rely on Python. Specifically, the Pandas and NumPy libraries are invaluable for data analysts:

   Pandas: This library provides powerful data structures and data analysis tools for working with structured (tabular) data. It enables efficient data manipulation, cleaning, and transformation, making it a fundamental tool for data analysts.

   NumPy: This library is essential for scientific computing and numerical operations in Python. It provides support for large, multi-dimensional arrays and matrices, along with a vast collection of high-performance mathematical functions, making it indispensable for complex data manipulations and calculations.

2. Excel and Advanced Excel

Data Analytics Excel
Data Analytics Excel mobile12

Excel is a widely used and industry-standard tool for data organization, analysis, and visualization. It offers a user-friendly interface and a vast array of functions and features that enable efficient data manipulation, calculation, and formatting. Advanced Excel skills, such as using pivot tables, VBA (Visual Basic for Applications) macros, and advanced formulas, are invaluable for data analysts as they streamline repetitive tasks and enhance productivity.

3. SQL (Structured Query Language):

Data Analytics sql
Data Analytics sql mobile

SQL is the language used to interact with relational databases, which are the backbone of most organizations’ data storage systems. Knowledge of SQL is essential for data analysts as it allows them to extract, manipulate, and analyze data stored in databases. SQL enables efficient data retrieval, filtering, sorting, and aggregation, making it an indispensable skill for working with large datasets and performing complex queries.

4. Visualization Tools:

Data Analytics power bi and tableau
best data analyst course

Data visualization is a critical aspect of data analysis, as it helps to communicate insights and findings effectively. The ability to create visually appealing and informative charts, graphs, and dashboards is crucial for conveying complex data clearly and understandably. The course covers visualization tools, such as:

Power BI: Power BI is a powerful business intelligence and data visualization tool developed by Microsoft. It allows data analysts to connect to various data sources, transform and model data, and create interactive and visually stunning reports and dashboards.

  Tableau: Tableau is another popular data visualization tool that enables data analysts to create interactive and highly visual dashboards, charts, and reports. It offers a user-friendly interface and a wide range of visualization options, making it a valuable tool for exploring and presenting data.

5. MongoDB

Data Analytics MongoDB12
Data Analytics MongoDB mobile

MongoDB is a popular NoSQL (Non-relational) database management system that stores data in flexible, JSON-like documents with dynamic schemas. It’s particularly useful for handling large volumes of unstructured or semi-structured data, making it a valuable tool for data analysts working with diverse data sources. Knowledge of MongoDB allows data analysts to work with data that doesn’t fit well into traditional relational databases, providing greater flexibility and scalability.

By mastering these essential components of the Data Analytics course, individuals will gain the necessary skills to effectively collect, process, analyze, and communicate data-driven insights. These skills are highly sought after in today’s data-driven world, where organizations increasingly rely on data-driven decision-making to gain a competitive advantage.

The Various Role of Data Analytics Across Industries

Revolutionizing Business Landscapes: The Integral Role of Data Analytics in Driving Innovation, Efficiency, and Growth across Varied Industries, with Cyber Success Data Analytics course in Pune at the Helm of Excellence. Data analytics is not merely a buzzword; it’s a powerful tool transforming industries worldwide. Across diverse sectors, from finance to healthcare and beyond, data analytics plays a pivotal role in driving innovation, efficiency, and growth. Here’s a closer look at how various industries harness the power of data analytics:

Data Analytics web job features12

Your Path to Success: Cyber Success will be the right place for your data analysis journey

Live Classroom

Our data analytics Classes in Pune include regular classroom sessions, where dedicated trainers go beyond to clear your doubts, facilitate group discussions, and provide practical demonstrations. This interactive learning environment ensures a thorough understanding of the concepts and a deeper understanding of data analysis.

Hands-on Experience

Cyber Success prioritizes real communication, bridging the gap between perceptions and real-world value by collaborating with educators. This hands-on approach assures that you will develop the necessary capabilities needed to handle situations that require you to confidently analyze complex facts. As you progress, you’ll transition to lean progress, ensuring you’ve got a solid foundation for your audit and analytics journey.

Excellent Curriculum

Our data analytics Classes Syllabus has been carefully designed by industry experts, ensuring that you get detailed and clear explanations for all your questions. We cover the latest tools, techniques, and best practices, equipping you with the knowledge and skills you need to excel in the industry.

Foundational Learning

Our data analytics certification course starts with the basics, offering a step-by-step learning approach that equips you with essential skills. As you progress, you’ll transition to lean progress, ensuring you’ve got a solid foundation for your audit and analytics journey.

100% original support

At Cyber Success, we are committed to taking your fulfillment beyond the classroom. Our comprehensive professional support includes career mobility, resume building, and honing interview skills, empowering you to land your dream career in the information analytics industry.

Professional skills

Our data analytics certification courses are designed to provide capabilities that may be more important within the company. Upon completion of our software, you will be prepared to tackle complex real-world scenarios and seize opportunities in the dynamic field of data analytics.

Why Should you opt for the Data Analytics Certification Course at Cyber Success Pune?

cyber success certificate

Embarking on a Data Analytics certification course in Pune at Cyber ​​Success, whether through online platforms or offline classes in Pune, heralds a promising career path, showcasing your proficiency in Data Analytics and enhancing your prospects within the IT industry. This certification underscores your dedication to professional growth, distinguishing you as a proficient Data Analyst. In today’s fast-paced technological landscape, such a recognized credential serves as a valuable asset, giving you a competitive advantage in job interviews and facilitating your upward trajectory in your career. Whether you’re initiating your journey into the field or aiming to enhance your existing skills, our Data Analytics certification course at Cyber ​​Success Pune paves the way for a fulfilling and successful career in IT.

The advantages of obtaining a Data Analytics certification through our training program in Pune are manifold, and customized to align with your career objectives and aspirations. Through our offline Data Analytics Certification Course in Pune, you not only validate your expertise but also gain a strategic edge when entering the job market.

Data Analytics, renowned for its versatility and applicability across various industries, exemplified by its usage in companies like Google, Netflix, and Uber, continues to be in high demand among professionals. Such certifications not only bolster your credibility but also unlock doors to diverse career opportunities. With the widespread recognition of Data Analytics certifications globally, employers often prioritize candidates possessing these credentials when making hiring decisions or considering advancements, making them an astute investment for securing your career trajectory.

What skills will you showcase after Data Analytics Classes at Cyber Success Pune?

  • Data Analysis Skills:
    • Proficiency in statistical analysis methods taught in the Data Analysis Course in Pune, including hypothesis testing, regression analysis, and descriptive statistics.
    • Ability to interpret and draw insights from data sets, a core aspect of the Data Analysis Course curriculum.
  • Data Visualization Proficiency:
    • Mastery of data visualization tools like Tableau and Power BI, as learned in the Data Analysis Classes in Pune.
    • Application of visualization techniques emphasized throughout the Data Analysis Course in Pune to present findings effectively.
  • Programming Competence:
    • Strong programming skills in Python, honed during practical exercises in the Data Analysis Course in Pune.
    • Application of Python libraries like Pandas for data manipulation and Seaborn for data visualization, integral parts of the Data Analysis Course curriculum.
  • Database Management Abilities:
    • Proficient in SQL for querying and managing relational databases, a skill reinforced in the Data Analysis Classes in Pune.
    • Familiarity with NoSQL databases like MongoDB for handling unstructured data, complementing the SQL expertise gained in the Data Analysis Course in Pune.
    • Understanding of database structures and normalization principles covered extensively in the Data Analysis Course.
  • Critical Thinking and Problem-Solving:
    • Enhanced critical thinking abilities, developed through the rigorous problem-solving exercises in the Data Analysis Course in Pune.
    • Application of logical reasoning and analytical methodologies, as emphasized throughout the Data Analysis Course content.
  • Business Acumen:
    • Ability to translate data insights into actionable business strategies, a focal point of the Data Analysis Course.
    • Understanding of how data analysis contributes to organizational objectives, a key takeaway from the Data Analysis Course curriculum.

By completing Cyber Success’s Data Analysis Course, you’ll emerge with a robust skill set encompassing data analysis, visualization, programming, database management, critical thinking, and business acumen. These skills not only prepare you for a career in data analytics but also equip you to excel in a variety of industries where data-driven decision-making is paramount

Data Analytics Classes Key Features at Cyber Success Pune

Course Duration

90 Hours

90 Hours Embark on a transformative journey with Cyber Success’s Data Analytics Course, spanning 90 hours of immersive learning. Whether you’re a novice or a seasoned professional, our comprehensive curriculum offers a perfect blend of theory and hands-on practice, including real-time projects to sharpen your skills.

Skill Level

Beginner to Advance

Beginner to Advanced From beginner to advanced, our Data Analytics Course caters to learners of all levels. Whether you’re starting from scratch or seeking to enhance your expertise, our training program is tailored to meet your individual needs and goals.

Total Learners

2000+ Learners

2000+ Learners Join a community of over 2000 learners who have already benefited from our Data Analytics Course. With over 100 batches completed and a 100% course completion record, Cyber Success is your trusted partner in data analytics 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

Online-Offline

Online-Offline Enjoy the flexibility to choose between online and offline classroom learning options. Whether you prefer the convenience of remote learning or the interaction of face-to-face sessions, Cyber Success accommodates your learning preferences.

Class Schedules

Weekday and weekend

Weekday and Weekend With flexible class schedules offering both weekday and weekend sessions, our Data Analytics Course caters to the diverse needs of working professionals and students alike. Choose from morning or evening sessions to accommodate your busy schedule and strike the perfect balance between education and other commitments.

Fees

Competitive pricing

Competitive Pricing Benefit from competitive pricing for our Data Analytics Course, coupled with placement assistance to jumpstart your career in data analytics. We offer convenient payment options, including installment plans, to ensure accessibility for all students.

Scholarship Program

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 Anlytics Classes in Pune at Cyber Success

  • Industry Experts: Our trainers are seasoned professionals with extensive experience in the field of data analytics.
  • Advanced Degrees: Each trainer holds advanced degrees in relevant disciplines such as statistics, computer science, or data science.
  • Hands-on Experience: With years of hands-on experience in data analysis projects, our trainers bring real-world insights into the classroom.
  • Certifications: Many of our trainers hold industry certifications in data analytics, demonstrating their expertise and commitment to excellence.
  • Teaching Experience: Equipped with exceptional teaching skills, our trainers are adept at simplifying complex concepts and ensuring student comprehension.
  • Personalized Attention: Our trainers provide personalized attention to each student, addressing individual learning needs and fostering a supportive learning environment.
  • Updated Curriculum: Continuously staying abreast of the latest trends and developments in data analytics, our trainers ensure that the curriculum remains relevant and up-to-date.
  • Career Guidance: Beyond technical instruction, our trainers offer valuable career guidance, helping students navigate the path to a successful career in data analytics.
  • Passion for Education: Above all, our trainers are passionate about education and dedicated to empowering students with the knowledge and skills needed to succeed in the field of data analytics.

After completing a comprehensive data analysis course, you’ll be equipped with a diverse set of skills essential for navigating the complex world of data. Through rigorous training and practical application, a data analysis course empowers individuals to delve deep into the realm of data-driven decision-making. Let’s explore how such a course can elevate your proficiency and confidence in handling data.

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

OFFLINE DATA ANALYTICS CLASSES IN PUNE

Batch Schedule for Data Analytics Course in Pune

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

11 Jun

12 Jun

13 Jun

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

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