Data Analytics Course in Bangalore

Marathahalli, Bangalore
8050601060
ayaz@riainstitute.in
Marathahalli Branch

Data Analytics Training in Marathahalli

Transform your career with our comprehensive data analytics training in Marathahalli. Master SQL, Power BI, Excel VBA, and Python to analyze data, create visualizations, and drive decisions. Join our intensive classroom program for career growth.

Duration
1 Month
Mode
Classroom
Fee
₹38,940/-

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Course Curriculum

1

Data Analyst

  • Introduction to Data Analytics Lifecycle
  • Types of Analytics (Descriptive, Predictive, Diagnostic)
  • Business Understanding & Domain Knowledge
  • Tools Overview (Power BI, Tableau)
2

SQL for Data Analysts

  • Database Normalization & Integrity
  • Advanced Queries (Joins, Subqueries, CTEs)
  • Aggregate Functions & Grouping
  • Window Functions for Trends
3

Advanced Excel for Analysts

  • Advanced Formulas & Conditional Formatting
  • Pivot Tables, Slicers, and Timelines
  • Power Query & What-If Analysis
  • Data Cleaning (Trim, Text-to-Columns)
  • Power Query & Data Models
4

Power BI & Visualization

  • Introduction to Power BI Interface
  • Data Import & Transformation (Power Query)
  • Creating Interactive Dashboards
  • DAX Functions & Calculated Measures
  • Service Fabric & Report Sharing
5

Python for Data Analysts

  • Python Basics for Analytics
  • Pandas Data Analysis (Dataframes)
  • NumPy for Numerical Computing
  • Visualization Libraries (Matplotlib, Seaborn)
  • Statistical Analysis with Python
6

Data Science Basics

  • Introduction to Machine Learning
  • Supervised vs Unsupervised Learning
  • Linear & Logistic Regression
  • Random Forest and Support Vector Machines

Why Choose Our Data Analytics Training in Marathahalli?

📊

Data-Driven Curriculum

Our syllabus is continuously updated with the latest tools like Power BI updates, advanced Python libraries, and market trends to ensure you stay ahead.

📈

Real-World Projects

We focus on capstone projects based on real-world business cases from industries like Retail, Finance, and Healthcare.

👨‍💻

Expert Mentors

Learn from Data Analysts working in top MNCs who share practical knowledge of Power BI and Python.

🎓

Placement Assistance

We provide 100% placement assistance including mock interviews and direct connections with top hiring partners.

Marathahalli Branch

Data Analytics Training in Marathahalli

Transform your career with our comprehensive data analytics training in Marathahalli. Master SQL, Power BI, Excel VBA, and Python to analyze data, create visualizations, and drive decisions. Join our intensive classroom program for career growth.

Duration
120 Hours
Mode
Classroom & Online
Fee
₹38,940/-

    Enquire Now






    Course Curriculum

    1

    MS-Excel Training Module (Advanced)

    • Pivots & Pivot Graphs: Creating Pivot Table, Summary function, Calculations, Grouping/Ungrouping, Custom Filter, Formatting.
    • Working on Objects: Inserting Objects (doc, pdf, txt), Hyperlinking to sheets/email, Screen tips, Symbols.
    • Data Management: Sorting (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.
    • Advanced Functions: V-Lookup, H-Lookup, IF, ISERROR, Index Match, Rows, Columns, Match, Offset, Get Pivot Data, Date/Time/Text/Math operators, Name Manager (Define, Use, Editing).
    • Data Connections: From Access, SQL, Web, ODBC.
    • Customize View: Developer Option, Trust Centre, Add-Ins, Save directory, Language, Quick access toolbar.
    • Security Options: Protecting worksheet/workbook, Sharing workbook, Allow users to edit range.
    2

    Microsoft Excel VBA

    • Introduction to VBA: What is VBA, Event Driven/Object Based Programming, Advantages/Disadvantages.
    • VBA IDE: Opening VBA IDE, Menu/Toolbar, Project/Code/Immediate Window, Customizing VBE.
    • Fundamentals: Variables/Constants, Keywords, Data Types, Procedures (Sub/Function), Arguments, Local vs Global, Comments.
    • Control Flow & Loops: If...Then/Else/ElseIf, Select Case, Do While...Loop, DoLoop...While, DoUntil...Loop, For...Next, For Each...Next, While...Wend, Exit statement.
    • VBA & Excel Functions: VB/Excel functions, Workbooks/Sheets, Activate/Select, Range/Cells/Offset/Resize/CurrentRegion/Rows/Columns, Union/Intersect, ISEMPTY, Areas, Transferring values.
    • Dialog Boxes & Forms: Labels, 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.
    • Handling Errors: Types of errors, On Error Goto, Resume, Err Object.
    • Object Model: Classes/Objects, Hierarchy, Collections, Referring, Navigating, Properties/Methods, Events, With...EndWith.
    • Arrays: Declaring, Limits, Array function, 2D, Multi-Dimensional, Dynamic.
    • Application Object: Globals, Active Properties, DisplayAlerts, ScreenUpdating, Evaluate, StatusBar, SendKeys, OnTime, OnKey.
    • Data Lists: Sorting, Table, AutoFilter.
    3

    SQL - Part 1 & Advanced

    • Users and Schemas: Introduction, Creating Application Schema, Definitions and Client Tools, SQL Developer Login.
    • Pseudo Columns & Functions: Dual Table, Functions, Rowid, Rownum.
    • Subqueries & Joins: Simple/Inline/Correlated/Scalar Subqueries, Equijoins (Inner, Outer, Cross, Natural), Named Subqueries.
    • Group Operations: About Group Processing, Simple Group By, ROLLUP Function.
    • Set Operators: Defined, Relationship to Math Set Theory, Restrictions.
    • Conditional Processing: Decode Function, Case Expression.
    • SQL Functions (Character): Concat, Length, Instr, Replace, Upper/Lower, Initcap, Lpad/Rpad, Trim, To_Char, Soundex.
    • SQL Functions (Non-Character): Numeric functions, Date/Time functions, Date Format/Arithmetic, Null Value functions.
    • Data Manipulation Language: Insert (Categories), Update, Delete, Transactions, Complex Table Refs, Merge statement.
    • Advanced SQL: Analytical Functions, Queries for Queries, Techniques to compare data, Efficiently writing SQL queries.
    4

    Power BI: Reports, Visuals & Power Query

    • Introduction: Need/Importance/Advantages, History, Data Source Library, Cloud Collaboration, Installation, Architecture, Data Access (OnPremise/OnDrive).
    • Creating Reports: Design with Legacy/.DAT files/Database Tables, Designer/Canvas/Pages, Visuals/Interactions, Filters, Report Fields, View Options, Navigation, Refresh, Charts.
    • Report Visuals/Properties: Import, Direct Query, Visuals/Fields/Filters, Conditional Filters, Custom Tables, General/Size/Pos/Properties, Header Properties, Grid/Styles, Totals/Column Formatting.
    • Charts/Maps: Stacked/Clustered Bar/Column, Line/Area/Waterfall/Scatter/Pie, Map Reports, Hierarchies, Drilldown.
    • 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).
    • 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).
    5

    Power BI: DAX, Deployment & Integration

    • DAX Level 1: Purpose/Scope, Context (Row/Filter), Entities (Calc Columns/Measures), Data Types, Operators/Symbols, Naming Conventions.
    • DAX Level 2: YTD/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.
    • Deployment & Cloud: Publish, Cloud Architecture, Workspace, Reports/Datasets, Dashboards/Pins, Dynamic Data Sources, Content Packs, Gateways, Subscriptions, Mobile Reports, Refresh, PBIX/PBIT, Visual Imports, Data Model.
    • Cloud Operations: Publish/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.
    • Insights & Subscriptions: Data Nav, Splits, Existing Systems, pbit/pbix, Quick Insights, Generating Reports, Relational DBs (OnPrem/Cloud), Service Content, Organizational Packs, Adding Tiles, Cortana.
    • Integration Elements: SSRS 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.
    6

    Python for Data Analytics

    • Section 1: Introduction: Variables/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.
    • Section 2: Jupyter and Numpy: Introduction, Creating Array, Reading Text Files, Array Indexing, N-Dimensional Arrays, Data Types, Array Math, Array Methods, Comparison/Filtering, Reshaping/Combining.
    • Section 3: Pandas and Matplotlib: Introduction, 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 Choose Our Data Analytics Training in Marathahalli?

    📊

    Data-Driven Curriculum

    Our syllabus is continuously updated with the latest tools like Power BI updates, advanced Python libraries, and market trends to ensure you stay ahead.

    📈

    Real-World Projects

    We focus on capstone projects based on real-world business cases from industries like Retail, Finance, and Healthcare.

    👨‍💻

    Expert Mentors

    Learn from Data Analysts working in top MNCs who share practical knowledge of Power BI and Python.

    🎓

    Placement Assistance

    We provide 100% placement assistance including mock interviews and direct connections with top hiring partners.