•  1999/- INR 55000
  • Buy Now

Data Analytics Expert Online Course

  • Python And SQL For Data Analysis And Data Handling With Real Applications
  • NumPy, Pandas, Matplotlib And Seaborn For Data Processing And Visualization
  • Advanced Excel And Power BI For Reporting, Dashboards And Business Insights
  • Work On Real-Time Projects, Data Cleaning And Transformation Techniques
  • 100% Practical Training With Job Assistance To Build Industry-Ready Skills
    BESTSELLER

        4.9       50+ students enrolled this month

    Offer by ATTITUDE ACADEMY    Last updated:- Mar 31, 2026

What you'll learn

  • Understand Fundamentals Of Data Analytics And Data Handling
  • Work With Python For Data Analysis
  • Write Queries Using SQL For Data Extraction
  • Perform Data Operations Using NumPy And Pandas
  • Create Visualizations Using Matplotlib And Seaborn
  • Analyze Data Using Advanced Excel (Formulas, Pivot, MIS)
  • Build Interactive Dashboards In Power BI
  • Work On Real Business Datasets And Projects
  • Learn Data Cleaning, Transformation And Visualization
  • Develop Job-Ready Skills For Data Analyst Role

Requirements

  • Innovative and Creative Ideas
  • Basic Knowledge of Computer
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INR 1999/- INR 55000/- 96% Off
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Includes

How will you get your certificate?

Take the final exam online to complete the Data Analytics Expert Online Course after which you will be able to download your certificate from Attitude Trainings

attitude-certificate

Latest Jobs

What placement assistance will you receive?

Free Placement Preparation Training

Access to curated Internships & Current Job Openings.

Top performers will be highlighted on Attitude Job portal

What you'll learn

  • Understand Fundamentals Of Data Analytics And Data Handling
  • Work With Python For Data Analysis
  • Write Queries Using SQL For Data Extraction
  • Perform Data Operations Using NumPy And Pandas
  • Create Visualizations Using Matplotlib And Seaborn
  • Analyze Data Using Advanced Excel (Formulas, Pivot, MIS)
  • Build Interactive Dashboards In Power BI
  • Work On Real Business Datasets And Projects
  • Learn Data Cleaning, Transformation And Visualization
  • Develop Job-Ready Skills For Data Analyst Role

Requirements

  • Innovative and Creative Ideas
  • Basic Knowledge of Computer

How will your training work?

Thought

Classes

Watch the recorded & live videos to learn various concepts & get Live Sessions for Doubts Clearing

Planning

Exams

Test your knowledge through quizzes & module tests

Implement

Projects

Get hands on practice by doing assignments and project

Result

Certificate

Take the final exam to get certified in Data Analytics Expert Online Course

What will be the training syllabus?

Become a skilled data professional with our Data Analytics Expert Course, designed to provide complete practical knowledge of data analysis tools and techniques. This course covers Python, SQL, NumPy, Pandas, Advanced Excel, Power BI, Matplotlib, and Seaborn to help you work with real-world datasets and generate meaningful insights.

With a step-by-step learning approach, you will learn how to clean, analyze, visualize, and interpret data effectively. The course includes hands-on projects and real business case studies to ensure you gain practical experience.

Whether you are a beginner or a professional, this course will help you build job-ready skills and confidently start your career in data analytics.

? What Students Will Learn:

  • Advanced Excel environment setup for MIS reporting
  • Complex mathematical, statistical and financial functions
  • Logical functions and nested formulas for decision making
  • Advanced text and date functions for data manipulation
  • Lookup techniques such as VLOOKUP, HLOOKUP, XLOOKUP, MATCH and INDEX
  • Data validation, protection and governance techniques
  • Pivot tables with slicers, timelines and calculated fields
  • Advanced charting and dynamic dashboard creation
  • What if analysis using Goal Seek, Scenario Manager and Forecasting
  • Data consolidation from multiple sources
  • Power Query for data transformation and automation
  • Importing data from web, database and external sources
  • Interactive dashboards using controls and buttons
  • Automation using Macros and VBA basics
  • Real world MIS reports and business case studies

? What Students Will Learn:

  • Introduction to Python & real-world applications
  • Installing Python, Jupyter Notebook & IDE setup
  • Data types (int, float, string, list, tuple, dictionary, set)
  • Variables, operators & expressions
  • Input/output operations (print, input)
  • Conditional statements (if, else, elif, nested conditions)
  • Looping concepts (while loop, iteration logic)
  • List operations (append, insert, remove, slicing)
  • Functions (def, arguments, return values)
  • File handling (read, write, open, close files)
  • Dictionaries, sets & tuple operations
  • Writing reusable & modular code
  • Project planning & implementation
  • Real-world Python project development
  • Code optimization & best practices

? What Students Will Learn:

  • Introduction to NumPy and its importance in data analytics
  • Creating NumPy arrays and understanding attributes
  • Array indexing, slicing and reshaping
  • Mathematical operations on arrays
  • Statistical functions using NumPy
  • Vectorization and performance optimization
  • Broadcasting concept for large data operations
  • File handling with NumPy
  • Handling multi dimensional arrays
  • Real time numerical data processing
  • Integration with Pandas and Python
  • Efficient computation techniques
  • Working with large datasets
  • Hands on exercises on array operations

? What Students Will Learn:

  • Introduction to Pandas and data structures such as Series and DataFrame
  • Data loading from CSV, Excel and other sources
  • Data cleaning and preprocessing techniques
  • Indexing, slicing and filtering data
  • Handling missing values and duplicates
  • Data transformation and aggregation
  • GroupBy and Pivot Table operations for analysis
  • Merging, joining and concatenating datasets
  • Working with date and time data
  • String operations in datasets
  • Advanced indexing and multi level indexing
  • Chunk processing for large datasets
  • SQL integration with Pandas
  • Real world data analysis case studies
  • Building analytical models using Pandas

? What Students Will Learn:

  • Introduction to data visualization concepts
  • Creating basic plots (line, bar, scatter, histogram)
  • Customizing charts (labels, titles, colors)
  • Multiple plots & subplot handling
  • Data trend analysis using graphs
  • Visual storytelling using charts
  • Advanced plotting techniques
  • Styling & formatting visualizations
  • Integration with Pandas data
  • Handling large datasets in visualization
  • Real-time plotting exercises
  • Exporting charts for reports
  • Visualization best practices

? What Students Will Learn:

  • Introduction to Seaborn & its advantages
  • Statistical plots (boxplot, violin plot, heatmap)
  • Distribution plots & regression plots
  • Data correlation visualization
  • Advanced styling & themes
  • Multi-variable data visualization
  • Pair plots & joint plots
  • Working with categorical data
  • Combining Seaborn with Matplotlib
  • Real-world visualization case studies
  • Data storytelling using advanced visuals
  • Insights generation through graphs
  • Visualization for business reporting

? What Students Will Learn:

  • Introduction to Power BI Desktop & Service
  • Data import from multiple sources
  • Data cleaning using Power Query Editor
  • Data transformation (merge, append, pivot, unpivot)
  • DAX basics (measures & calculated columns)
  • Advanced DAX (filter, time intelligence functions)
  • Data modeling & relationships
  • Creating charts, tables & dashboards
  • Slicers, filters & interactive reports
  • Advanced visualization (drill-down, drill-through)
  • Publishing reports to Power BI Service
  • Dashboard sharing & collaboration
  • Mobile view & report optimization
  • AI-based analytics & insights
  • Real-world business intelligence projects

? What Students Will Learn:

  • Introduction to databases and SQL concepts
  • Understanding relational database structure
  • Writing basic database queries such as data selection and filtering
  • Filtering and sorting data
  • Aggregate functions such as sum, count, average, maximum and minimum
  • Grouping and filtering grouped data
  • Different types of joins such as inner join, left join, cross join, right join, etc.
  • Subqueries and nested queries
  • Creating and managing database tables
  • Adding, updating and removing records
  • Views and stored procedures basics
  • Data cleaning using database queries
  • Query performance and optimization techniques
  • Integration with Python and Power BI
  • Real world database case studies

How will you get your certificate?

Take the final exam online to complete the Data Analytics Expert Online Course after which you will be able to download your certificate from Attitude Trainings

attitude-certificate

Latest Jobs

How will your training work?

Thought

Classes

Watch the recorded & live videos to learn various concepts & get Live Sessions with Trainer for Doubts Clearing

Planning

Exams

Test your knowledge through quizzes & module tests

Implement

Projects

Get hands on practice by doing assignments and project

Result

Certificate

Take the final exam to get certified in Data Analytics Expert Online Course

What placement assistance will you receive?

Free Placement Preparation Training

Access to curated Internships & Current Job Openings.

Top performers will be highlighted on Attitude Job portal

How will your doubts get solved?

You can post your doubts on the Q&A forum which will be answered by the teachers within 24 hours.

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