Data Analytics Course
Data Analytics has become one of the most in-demand skills across industries. Organizations rely on data to make informed business decisions, improve customer experiences, and drive growth. This comprehensive Data Analytics Course is designed to equip learners with the technical knowledge and practical skills required to analyze, visualize, and interpret data effectively.
Throughout the course, students will gain hands-on experience with industry-standard tools such as Microsoft Excel, SQL, Power BI, and Python. From data collection and cleaning to dashboard creation and business reporting, every module focuses on practical applications through real-world case studies and projects.
What You Will Learn
- Fundamentals of Data Analytics and Business Intelligence
- Advanced Microsoft Excel for data analysis and reporting
- SQL for querying and managing relational databases
- Power BI dashboard development and interactive reporting
- Python programming for data analysis using Pandas and NumPy
- Data visualization techniques and storytelling with data
- Data cleaning, transformation, and preparation
- Business reporting and KPI analysis
- Real-world projects based on industry scenarios
- Interview preparation and portfolio development
Who Should Enroll?
- Students seeking a career in Data Analytics
- Working professionals looking to upgrade their analytical skills
- Business analysts and reporting professionals
- Graduates from any stream interested in data-driven careers
- Anyone interested in Business Intelligence and Data Visualization
Career Opportunities
After successfully completing this course, learners can explore career opportunities such as:
- Data Analyst
- Business Analyst
- Reporting Analyst
- Business Intelligence Analyst
- Power BI Developer
- SQL Developer
- Data Visualization Specialist
- Junior Data Scientist
Whether you are starting your career or looking to enhance your professional skills, this Data Analytics Course provides the practical knowledge and confidence needed to excel in today's data-driven world.
Data Analyst Course in Bangalore — Detailed Syllabus
Our data analyst course in Bangalore is structured into 6 comprehensive modules, designed to take you from beginner to industry-ready analyst. This curriculum is what makes RIA Institute the best institute for data analyst course in Bangalore.
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Pivots & Pivot GraphsCreating Pivot Table, Summary function, Calculations, Grouping/Ungrouping, Custom Filter, Formatting.
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Working on ObjectsInserting Objects (doc, pdf, txt), Hyperlinking to sheets/email, Screen tips, Symbols.
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Data ManagementSorting (alphabets/numbers/time), Filtering (Auto/Custom/Advanced/Unique records), Grouping/Outlining, Freezing/Unfreezing, Data Validation, Removing Duplicates, Split Texts, Data Consolidation, Conditional Formatting, Copy Data (Format painter, Paste special), View Multiple Files, Working on Tab.
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Advanced FunctionsV-Lookup, H-Lookup, IF, ISERROR, Index Match, Rows, Columns, Match, Offset, Get Pivot Data, Date/Time/Text/Math operators, Name Manager (Define, Use, Editing).
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Data ConnectionsFrom Access, SQL, Web, ODBC.
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Customize ViewDeveloper Option, Trust Centre, Add-Ins, Save directory, Language, Quick access toolbar.
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Security OptionsProtecting worksheet/workbook, Sharing workbook, Allow users to edit range.
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Introduction to VBAWhat is VBA, Event Driven/Object Based Programming, Advantages/Disadvantages.
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VBA IDEOpening VBA IDE, Menu/Toolbar, Project/Code/Immediate Window, Customizing VBE.
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FundamentalsVariables/Constants, Keywords, Data Types, Procedures (Sub/Function), Arguments, Local vs Global, Comments.
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Control Flow & LoopsIf...Then/Else/ElseIf, Select Case, Do While...Loop, DoLoop...While, DoUntil...Loop, For...Next, For Each...Next, While...Wend, Exit statement.
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VBA & Excel FunctionsVB/Excel functions, Workbooks/Sheets, Activate/Select, Range/Cells/Offset/Resize/CurrentRegion/Rows/Columns, Union/Intersect, ISEMPTY, Areas, Transferring values.
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Dialog Boxes & FormsLabels, Text Boxes, Command Button, List Boxes, Combo Boxes, Checkboxes, Radio Buttons, Toggle Buttons, Frames, Message Boxes, Input Boxes, Tab Strip, Scrollbar, Help Tips, Tab Order, Coloring Active Control, Transparent Forms, Menus/Toolbars.
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Handling ErrorsTypes of errors, On Error Goto, Resume, Err Object.
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Object ModelClasses/Objects, Hierarchy, Collections, Referring, Navigating, Properties/Methods, Events, With...EndWith.
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ArraysDeclaring, Limits, Array function, 2D, Multi-Dimensional, Dynamic.
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Application ObjectGlobals, Active Properties, DisplayAlerts, ScreenUpdating, Evaluate, StatusBar, SendKeys, OnTime, OnKey.
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Data ListsSorting, Table, AutoFilter.
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Users and SchemasIntroduction, Creating Application Schema, Definitions and Client Tools, SQL Developer Login.
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Pseudo Columns & FunctionsDual Table, Functions, Rowid, Rownum.
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Subqueries & JoinsSimple/Inline/Correlated/Scalar Subqueries, Equijoins (Inner, Outer, Cross, Natural), Named Subqueries.
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Group OperationsAbout Group Processing, Simple Group By, ROLLUP Function.
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Set OperatorsDefined, Relationship to Math Set Theory, Restrictions.
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Conditional ProcessingDecode Function, Case Expression.
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SQL Functions (Character)Concat, Length, Instr, Replace, Upper/Lower, Initcap, Lpad/Rpad, Trim, To_Char, Soundex.
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SQL Functions (Non-Character)Numeric functions, Date/Time functions, Date Format/Arithmetic, Null Value functions.
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Data Manipulation LanguageInsert (Categories), Update, Delete, Transactions, Complex Table Refs, Merge statement.
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Advanced SQLAnalytical Functions, Queries for Queries, Techniques to compare data, Efficiently writing SQL queries.
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IntroductionNeed/Importance/Advantages, History, Data Source Library, Cloud Collaboration, Installation, Architecture, Data Access (OnPremise/OnDrive).
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Creating ReportsDesign with Legacy/.DAT files/Database Tables, Designer/Canvas/Pages, Visuals/Interactions, Filters, Report Fields, View Options, Navigation, Refresh, Charts.
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Report Visuals/PropertiesImport, Direct Query, Visuals/Fields/Filters, Conditional Filters, Custom Tables, General/Size/Pos/Properties, Header Properties, Grid/Styles, Totals/Column Formatting.
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Charts/MapsStacked/Clustered Bar/Column, Line/Area/Waterfall/Scatter/Pie, Map Reports, Hierarchies, Drilldown.
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Power Query & M (Part 1)Editor/Interface, Empty Tables, Applied Steps, JSON/Binary, JavaScript Object Notation, Query Groups/References, M Lang (NestedJoin, JoinKind, Replace/Remove/Split, FillUp/Down).
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Power Query & M (Part 2)Invoke Function, Reference Tables, Removing Datasets, Custom Columns, M Lang Semantics/Syntax (If/Else, TransformColumn, Table.Distinct, Table.Group, Table.Sort, Pivot, Parameters, Advanced Editor, List Gen, Aggregations, Web Pages/HTML, QR Codes).
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DAX Level 1Purpose/Scope, Context (Row/Filter), Entities (Calc Columns/Measures), Data Types, Operators/Symbols, Naming Conventions.
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DAX Level 2YTD/QTD/MTD, Calculations, TOPN, RANKX, STDEV/VAR, SAMPLE, COUNTALL, ISERROR, DATE/TIMEFORMAT, Time Intelligence, DatesYTD/DATESQTD/DATESMTD, ENDOFYEAR/QUARTER/MONTH, FIRSTDATE/LASTDATE, DATESBETWEEN, CLOSINGBALANCE, SAMEPERIOD, PREVIOUSMONTH, KPIs, Vertipaq.
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Deployment & CloudPublish, Cloud Architecture, Workspace, Reports/Datasets, Dashboards/Pins, Dynamic Data Sources, Content Packs, Gateways, Subscriptions, Mobile Reports, Refresh, PBIX/PBIT, Visual Imports, Data Model.
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Cloud OperationsPublish/Options, Navigation (My Workspace), File/View/Edit/Access/Save/Print, Pin, Goto Dashboard/Live, Media, Usage Metrics, Share, Settings/Q&A, Edit Dashboard, Dataset Actions.
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Insights & SubscriptionsData Nav, Splits, Existing Systems, pbit/pbix, Quick Insights, Generating Reports, Relational DBs (OnPrem/Cloud), Service Content, Organizational Packs, Adding Tiles, Cortana.
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Integration ElementsSSRS Integration, KPI Reports vs SSRS, Mobile Reports, Report Builder, JSON/Bulk Loads, High-Density Reports, OLAP, MDX Queries (Select/Perspective, Filters), Linked Servers/T-SQL Procs, YTD/PARALLELPERIOD/SCOPE/ALLMEMBERS, RLS (Roles/Members), R for Power BI, Streaming DataSets, Azure Connections, SQL Azure DBs.
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IntroductionVariables/Data Types, Data Structures (Lists/Multidimensional/Tuples/Dictionaries), Functions/Methods, If statements, Loops, Syntax essentials, Writing/Reading/Appending to file, Errors, User Input, Stats, Module Import, List Comprehension, Built in functions, OS module, Memory utilization.
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Jupyter and NumpyIntroduction, Creating Array, Reading Text Files, Array Indexing, N-Dimensional Arrays, Data Types, Array Math, Array Methods, Comparison/Filtering, Reshaping/Combining.
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Pandas and MatplotlibIntroduction, Data Structures (Series, DataFrame), Basic Functionality, Descriptive Statistics, Indexing/Selecting Data, Function Application, Reindexing, Iteration, Sorting, Working with Text Data, Options/Customization, Missing Data, GroupBy, Merging/Joining, Concatenation, IO Tools, Dates Conversion, Industry Case Study (EDA).
Why RIA Is the Best Institute for Data Analyst Course in Bangalore
Data-Driven Curriculum
Our data analyst course in Bangalore is updated every quarter with the latest industry tools — including new Power BI features, advanced Python libraries like Pandas and Seaborn, and real business analytics frameworks. You’ll never learn outdated skills here.
Real-World Projects
We go beyond theory. Our best data analytics courses in Bangalore include capstone projects built on actual business scenarios from Retail, Finance, and Healthcare — giving you a portfolio that impresses recruiters from day one.
Expert Mentors
Learn directly from working Data Analysts and Business Intelligence professionals employed at top MNCs in Bangalore. Their real-world insights make this the best data analyst course in Bangalore for practical, job-ready training.
Placement Assistance
We provide 100% placement assistance — mock interviews, resume building, LinkedIn profile optimization, and direct referrals to our network of 200+ hiring partners. Our students consistently land roles as Data Analysts, BI Developers, and Business Analytics professionals across Bangalore’s top companies.
Who Should Enroll in Our Data Analyst Course in Bangalore?
- Fresh Graduates — seeking a strong start in data-driven careers
- Working Professionals in Finance, Marketing, HR, or Operations looking to upskill with a business analytics course in Bangalore
- MIS & Excel Users who want to level up to Power BI and Python
- Career Switchers transitioning into analytics from non-technical backgrounds
- Entrepreneurs & Managers who want to make smarter, data-backed business decisions
No prior coding experience is required. Our best data analyst course in Bangalore starts from the fundamentals and builds up to advanced analytics and automation.
Learn More About Data Analytics
Best Data Analyst Course in Bangalore — Learn at RIA Institute, Marathahalli
RIA Institute of Technology is recognized as the best institute for data analyst course in Bangalore, offering a 120-hour comprehensive program from our Marathahalli campus — one of the city’s fastest-growing tech hubs.
Our data analyst course in Bangalore covers the complete analytics stack: Advanced Excel & VBA for data manipulation, SQL for database querying, Power BI for interactive dashboards and reports, and Python (with Pandas, NumPy, and Matplotlib) for statistical analysis and automation. This makes it one of the most complete best data analytics courses in Bangalore available today.
What separates us from generic training centers is our focus on business context. Our business analytics course in Bangalore doesn’t just teach tools — it teaches you how to solve real business problems using data. Students learn to translate raw datasets into actionable insights that help companies improve revenue, cut costs, and make smarter decisions.
Located in Marathahalli, Bangalore, RIA Institute is easily accessible from Whitefield, Bellandur, Sarjapur Road, Domlur, and KR Puram — making it the most conveniently located institute for data analytics training in East Bangalore.
With both classroom and online modes available, our data analyst course in Bangalore fits the schedule of working professionals and fresh graduates alike. Batch timings are flexible — including weekday, weekend, and fast-track options.
Join over 5,000+ trained professionals who chose RIA Institute for the best data analyst course in Bangalore. Enroll today and take the first step toward a rewarding analytics career.
Frequently Asked Questions — Data Analyst Course in Bangalore
Find answers to the most common questions about our Data Analyst course, including eligibility, curriculum, certification, placements, fees, and career opportunities.
The data analyst course in Bangalore at RIA Institute is 120 hours long, delivered through classroom and online sessions. The program can be completed in 2–3 months depending on the batch schedule you choose.
RIA Institute is consistently rated among the best institutes for data analyst course in Bangalore, thanks to our industry-updated curriculum, expert mentors from top MNCs, real-world project training, and 100% placement assistance.
Our best data analytics courses in Bangalore cover MS Excel (Advanced), Excel VBA, SQL (Advanced), Power BI (Reports, DAX, Deployment), and Python (Pandas, NumPy, Matplotlib) — giving you a complete, job-ready analytics toolkit.
Yes. Our data analyst program doubles as a business analytics course in Bangalore. You’ll learn how to apply analytics tools to solve real business challenges in domains like Finance, Retail, HR, and Healthcare.
The fee for our data analyst course in Bangalore is ₹38,940/-. This is an all-inclusive fee covering all modules, study materials, project guidance, and placement support.
No prior experience is needed. Our data analyst course in Bangalore begins with Excel fundamentals and progresses to advanced SQL, Power BI, and Python — making it suitable for both beginners and experienced professionals.
