Aspire Techsoft offers Data Analytics Course in Pune with real-time industry experts. Our Data Analytics Course provides real-world and practical exercises. The Data Analyst course curriculum is current industry trends, and we provide 100% placement assistance for Data Analytics course in Pune including resume preparations, test exams, mock interviews led by experienced professionals.
Course Duration
4 Months
Mode OF Training
Online / Classroom
100% Placement Assistance
Assured
Best Experienced Faculties
10+ years of Experienced
Course Duration 4 Months
Mode OF Training Online / Classroom
100% Placement Assistance
10+ Years Experienced Faculties
Data analysis is the process of examining, cleaning, transforming, and modeling data to find useful information for a company, draw conclusions, and support decision-making. Large industrial businesses or organizations need to use a variety of techniques to interpret large amounts of data and extract actionable insights to improve their performance. Data Analytics involves many techniques, automated mechanical processes, and algorithms that work on raw data for human consump ...
Informed Decision-Making
Competitive Advantage
Improved Operational Efficiency
Enhanced Customer Experience
Innovation and Product Development
Cost Reduction
Personalized Marketing
Strategic Planning
Enhanced Security
Finance and Banking
Healthcare
Manufacturing
Retail and E-commerce
Media and Entertainment
Government and Public Sector
Telecommunications
Transportation and Logistics
Energy and Utilities
Human Resources
Foundational knowledge for aspiring data analytics professionals, detailing that while formal education is not strictly required, skills in mathematics and statistics, spreadsheet software like Excel, basic programming with Python or R, Power BI ( business intelligence platform), database querying with SQL, and Tableau (data visualization) are highly beneficial.
Students and fresh graduates in fields such as engineering, computer science, mathematics, statistics, and economics can pursue a Data Analyst Course in Pune.
You can benefit by gaining practical, job-ready data analytics skills and increasing your employability in a variety of industries such as IT, finance, healthcare, and retail.
Working professionals looking to upskill in roles such as software developers, business analysts, IT professionals and testers can also take a Data Analytics Classes in Pune from Aspire Techsoft.
Learning data analytics can help you add analytical skills to your profile to move into more strategic, high-paying roles like data analyst or data scientist.
Non-technical professionals in roles like sales, marketing, HR, finance, and operations professionals and Career switchers from BPO, KPO, support, teaching or any non-IT field they can learn data analytics certification course in Pune.
MS Excel
Power BI
SQL
Power Query
Tableau
Data Analyst – Tableau
Business Analyst
Business Intelligence Analyst –Power BI
Data Scientist
Data Analyst - Python
Machine Learning Engineer
Data Engineer
Data collection and data analysis
Database management
Generating reports
Data visualizations and dashboard creation
Predictive modeling and data mining
Statistical analysis and interpretation
Develop algorithms for artificial intelligence and machine learning applications
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• Excel Interface Overview
• Navigating the Ribbon
• Understanding Worksheets and Workbooks
• Creating and Saving Workbooks
• Data Entry and Editing
• Customizing the Quick Access Toolbar
• Excel File Formats
• Basic Arithmetic Formulas (SUM, SUBTRACT, MULTIPLY, DIVIDE)
• AutoSum Function, Cell References (Relative, Absolute, Mixed)
• Common Statistical Functions (AVERAGE, MEDIAN, MODE)
• Text Formulas (CONCATENATE, LEFT, RIGHT)
• Date Formulas (TODAY, NOW, DATE)
• Logical Formulas (IF, AND, OR)
• Conditional Formatting Rules
• Highlighting Cells Based on Values
• Data Bars, Color Scales, and Icon Sets
• Custom Conditional Formatting
• Managing Conditional Formatting Rules
• Using Formulas in Conditional Formatting
• Applying Conditional Formatting to Pivot Tables
• IF Statements, Nested IF Statements, AND, OR Operators, NOT Operator
• Combining Multiple Conditions
• Using IF with Text, Numbers, and Dates
• Conditional Formatting with Logical Operators
• CONCATENATE (or CONCAT), LEFT, RIGHT, MID, LEN, and TRIM
• UPPER, LOWER, PROPER
• SUBSTITUTE and REPLACE
• FIND and SEARCH
• TEXT Function for Formatting Numbers and Dates
• TODAY and NOW
• DATE and TIME
• DAY, MONTH, YEAR, HOUR, MINUTE, SECOND
• DATEDIF, NETWORKDAYS, EDATE, and EOMONTH
• Creating and Formatting Excel Tables
• Table Styles and Options
• Sorting and Filtering Tables
• Adding and Removing Table Rows/Columns
• Structured References
• Table Calculations and Totals
• Converting Table to Range
• Creating Dynamic Tables
• Using Table Formulas
• Advanced Filtering Techniques
• Using Slicers with Tables
• Advanced Sorting Techniques
• Working with Subtotals
• Merging and Splitting Tables
• Creating Pivot tables, PivotTable Fields and Areas
• Grouping Data in PivotTables
• Pivotable Calculations (Sum, Count, Average)
• Creating Pivot Charts
• Filtering Pivot tables with Slicers and Timelines
• Advanced Pivotable Techniques (Calculated Fields, Custom Calculations)
• Understanding Cell References
• Using Relative References
• Using Absolute References
• Mixed References
• INDIRECT Function
• OFFSET Function
• Linking Cells Between Sheets and Workbooks
• Introduction to LookUp Functions
• VLOOKUP Basics
• HLOOKUP Basics
• Using VLOOKUP with Exact and Approximate Match
• Combining VLOOKUP with Other Functions
• Common VLOOKUP Errors and Fixes
• Alternatives to VLOOKUP (INDEX and MATCH)
• Creating Basic Charts (Column, Line, Pie)
• Customizing Chart Elements (Titles, Legends, Labels)
• Using Sparklines for Miniature Charts
• Creating Combo Charts
• Using Conditional Formatting for Data Visualization
• Creating Heat Maps
• Using Data Bars and Color Scales
• What is a Power Query?
• Power Query Interface Overview
• Loading Data into Power Query
• Basic Data Transformation (Filter, Sort, Remove Columns)
• Combining Data from Multiple Sources
• Data Profiling in Power Query
• Saving and Loading Data to Excel
• Navigating the Power Query Editor
• Applying Basic Transformations (Replace Values, Remove Duplicates)
• Advanced Transformations (Pivot/Unpivot, Group By)
• Creating Custom Columns
• Merging Queries
• Appending Queries
• Managing Query Steps
• Creating Column Charts
• Creating Line Charts
• Creating Pie Charts
• Creating Bar Charts
• Creating Area Charts
• Creating Scatter Plots
• Customizing Chart Types and Style
• Data Preparation and Cleaning
• Using PivotTables for Reports
• Combining Multiple Data Sources
• Adding Visual Elements (Charts, Sparklines)
• Creating Interactive Dashboards
• Automating Report Updates
• Distributing and Sharing Reports
• Overview of Power BI and its components
• Power BI service vs. Power BI Desktop
• Benefits of using Power BI for data analytics
• Key features and capabilities of Power BI
• Understanding the Power BI ecosystem
• User interface and navigation
• Basic concepts and terminology in Power BI
• System requirements for Power BI Desktop
• Step-by-step installation guide
• Initial setup and configuration
• Updating Power BI Desktop
• Troubleshooting common installation issues
• Licensing and subscription options
• Importing sample datasets for practice
• Supported data sources in Power BI
• Connecting to databases, cloud services, and files
• Data import methods and best practices
• Managing data connections
• Data refresh and scheduling
• Handling data privacy and security
• Using Power BI gateways
• Types of visualizations available in Power BI
• Creating basic charts and graphs
• Customizing visualizations (colors, labels, titles)
• Using slicers and filters
• Creating and managing dashboards
• Adding interactivity to visualizations
• Publishing and sharing reports
• Using advanced chart types (waterfall, funnel, gauge)
• Creating and using bookmarks
• Implementing drill-through functionality
• Using custom visuals from the marketplace
• Creating dynamic visualizations with DAX
• Advanced interactivity techniques
• Combining multiple visualizations in a single report
• Introduction to DAX: Calculated Columns, Measures, and Tables
• Time Intelligence Functions
• Filtering Functions
• Advanced Calculations and Complex DAX Queries
• Optimizing DAX Queries for Performance
• Practical Applications of DAX in Data Models
• Overview of Power Query and its interface
• Connecting to various data sources
• Understanding the M language
• Basic data import and transformation
• Using the query editor for data preparation
• Managing and combining queries
• Best practices for efficient data queries
• Introduction to SQL
• Setting up the SQL environment
• Basic SQL Commands
• Creating and Deleting Databases and Tables
• Importing and Exporting Data from CSV Files
• Anatomy of SQL Query
• SQL Data Types and Operators
• Filtering and Sorting Data in SQL
• Aggregate functions in SQL
• Grouping Data – GROUP BY
• HAVING
• Subqueries
• Joining tables using INNER JOIN, LEFT JOIN, RIGHT JOIN & FULL OUTER JOIN
• Alias in SQL queries
• Working with Multiple Tables Using Subqueries
• Using Set Operators
• Aggregating Data from Multiple Tables using GROUP BY and HAVING.
• Advanced Join Techniques
• Joining multiple tables
• Handling duplicate records and eliminating duplicates
• Using UNION and UNION ALL to combine data from multiple tables
• Mathematical Functions
• Type Conversion Functions
• Using CASE Statements to Perform Conditional Operations
• Working with date/time data in SQL
• Date/time functions
• Formatting date/time data
• String manipulation functions (e.g. UPPER, LOWER, LEFT, RIGHT, etc.)
• Regular expressions in SQL for string operations
• Using CONCAT_WS to concatenate strings with a separator
• Syntax of Windows Function
• Ranking functions (e.g. ROW_NUMBER, RANK, DENSE_RANK, etc.)
• Aggregate functions using windows (e.g. SUM, AVG, MAX, MIN, etc.)
• Partitioning data for window functions
• Understanding the difference between row-based and aggregate-based window functions
• Common Table Expressions(CTE)
• Recursive CTEs for Hierarchical Data
• Combining CTEs with Window Functions and Subqueries
• Understanding the Performance Implications of CTEs
• Understanding The Relational Model and Database Schema Design
• Normalization and Denormalization of Database Tables
• Database Administration Tasks
• Implementing Indexes and Constraints for Data Integrity
• Designing Efficient Database Queries for Performance Optimization
• Overview of Alteryx
• Key Features and Benefits
• Use Cases and Applications
• Comparison with Other Data Analytics Tools
• Alteryx Designer Interface
• Licensing and Pricing
• Alteryx Community and Resources
• System Requirements
• Step-by-Step Installation Guide
• Post-Installation Configuration
• Licensing and Activation
• Troubleshooting Common Installation Issues
• Updating Alteryx
• Uninstalling Alteryx
• Input Data Tool
• Output Data Tool
• Directory Tool
• Text Input Tool
• Download Tool
• SharePoint Input Tool
• Blob Input Tool
• Data Cleansing Tool
• Filter Tool
• Select Tool
• Sort Tool
• Sample Tool
• Unique Tool
• Generate Rows Tool
• Join Tool
• Union Tool
• Find Replace Tool
• Append Fields Tool
• Make Group Tool
• Fuzzy Match Tool
• Spatial Match Tool
• Cross Tab Tool
• Transpose Tool
• Formula Tool
• Multi-Field Formula Tool
• Running Total Tool
• Tile Tool
• Imputation Tool
• Table Tool
• Charting Tool
• Layout Tool
• Render Tool
• Report Map Tool
• Text Box Tool
• Email Tool
• Connect In-DB Tool
• Data Stream In Tool
• Filter In-DB Tool
• Formula In-DB Tool
• Join In-DB Tool
• Summarize In-DB Tool
• Write Data In-DB Tool
• Comment Tool
• Tool Container
• Block Until Done Tool
• Message Tool
• Summarize Tool
• Tool Annotation
• Metadata Output Tool
• Designing a Workflow
• Best Practices for Workflow Management
• Debugging and Error Handling
• Workflow Automation
• Performance Optimization
• Sharing & Collaboration
• Real-World Workflow Examples
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Mock interviews by Aspireit give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
In our mock interviews will be conducted by Data Analytics industry experts with an average experience of 10+ years. So you’re sure to improve your chances of getting hired!
Know more about Successfull Students ...
When you complete the Data Analytics course here and complete the hands-on project, you will receive an ISO certificate that you can share with potential employers and your professional network.
Talk about it on Linkedin, Twitter, Facebook, boost your resume or frame it- tell your friend and colleagues about it.
Share your Certification with potential employers to show off your skills and capabilities
Data analytics can be done by professionals with a bachelor's or master's degree in a related field, such as computer science, engineering, statistics, and mathematics, as well as by professionals who want to pursue a career in data analytics.
Enroll Now with Aspire Techsoft, the best data analytics training institute in Pune, by calling this number +91 9960935600. Not sure if you're ready? Enroll in Data Analyst Training here & get expert guidance to sharpen your skills.
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