Best Data Analytics Courses in Bangalore with 100% Placement

Join Skill Space Solutions to master data analytics through practical, industry-oriented training designed for freshers, graduates, career switchers, and experienced professionals. Our best data analytics courses in Bangalore with placement focus on helping learners develop the technical and analytical skills required to work with real-world business data. From Excel spreadsheets and SQL queries to Python programming, Power BI dashboards, and Tableau visualizations, our data analytics program takes you step by step through the complete data analysis process. Learn to clean datasets, identify business trends, build interactive reports, and transform raw information into actionable insights. Whether you are searching for a data analyst course in Bangalore with placement, a SQL data analysis course, or specialized Power BI and Tableau training, Skill Space Solutions offers a practical learning approach supported by assignments, industry-oriented projects, interview preparation, and placement assistance.

✓Data Analytics & BI ✓Excel, SQL, Python, Power BI, Tableau ✓Online & Offline
✓Freshers & Professionals ✓Live Industry Projects ✓Certification & Placement
6 Months CourseOnline & Offline
Placement Companies
Drives / Month
Years Unlimited Placements

    Overview of the Data Analytics Course

    The Data Analytics course in Bangalore at Skill Space Solutions is designed for learners who want to understand data, solve business problems and prepare for careers in analytics and business intelligence. Our structured training introduces essential concepts before progressing to advanced reporting, visualization and analytical techniques. You learn how to:

    Collect and clean data Organize and analyze data Interpret results with industry tools Build reports and dashboards

    Through guided exercises and practical assignments, you develop the ability to turn complex datasets into meaningful reports that support business decisions.

    Our data analytics courses in Bangalore with placement for freshers suit beginners who want to start from the fundamentals. We also offer a learning pathway for professionals who want to improve their reporting, SQL, dashboard development and business intelligence skills, with a view to roles such as:

    • Data Analyst
    • Business Analyst
    • BI Developer
    • Reporting Analyst

    This programme is one of the data analytics courses in India that you can join:

    On campus: Koramangala
    Live online: from any city

    Why Skill Space Solutions is the Leading Data Analytics Training Institute in Bangalore

    Our success comes from one simple thing: getting our students hired. As a leading Data Analytics training institute in Bangalore with placement, we design every lesson around what top companies look for when hiring a data analyst. Our data analytics course in Bangalore covers Excel, SQL, Python, Power BI and Tableau through live industry projects, so you graduate with a portfolio of real dashboards and reports.

    To make sure you get placed, Skill Space Solutions connects you directly with our network of over 2,000+ hiring companies and hosts 100+ recruitment drives every month in Bangalore. From resume preparation and mock interviews to direct job referrals, our placement team guides freshers and working professionals at every step, so you can move into a rewarding career as a Data Analyst, Business Analyst, BI Developer or Reporting Analyst.

    • G Meghashree - placed at LG Soft India
      G MeghashreeLG Soft India₹7.5 LPA
    • Muskan Attar - placed at Matrix Comsec Pvt. Ltd.
      Muskan AttarMatrix Comsec Pvt. Ltd.₹7.5 LPA
    • Dileep D - placed at TATA Technologies
      Dileep DTATA Technologies₹5 LPA
    • Ruchitha N.P - placed at TATA Technologies
      Ruchitha N.PTATA Technologies₹5 LPA
    • Himaja - placed at Phinia
      HimajaPhinia₹4.5 LPA
    • Nihal Ali N.M - placed at Delopt
      Nihal Ali N.MDelopt₹4.5 LPA
    • Monisha N - placed at L&T
      Monisha NL&T₹4 LPA
    • T Yaswanth Kumar - placed at Mirafra Technologies
      T Yaswanth KumarMirafra Technologies₹3.5 LPA
    • Joseph Eapan - placed at VVDN Technologies
      Joseph EapanVVDN TechnologiesPlaced

    Our Hiring Partners for Data Analytics Placements

    Popular Tools, Frameworks, and Libraries Covered in the Data Analytics Course at Skill Space Solutions

    • Microsoft ExcelLearn spreadsheet formulas, lookup functions, pivot tables, charts, conditional formatting, data cleaning, and reporting techniques used in everyday business analysis.
    • SQL & Database ManagementMaster SQL queries, filtering, sorting, joins, grouping, aggregate functions, subqueries, common table expressions, and window functions. Our SQL data analysis course helps learners extract useful information from relational databases.
    • Python for Data AnalyticsLearn Python fundamentals and use Pandas, NumPy, and Jupyter Notebook to manipulate datasets, automate repetitive tasks, perform exploratory analysis, and prepare data for reporting.
    • Microsoft Power BIDevelop interactive reports and dashboards using Power Query, data modeling, DAX measures, calculated columns, relationships, filters, and visualizations. Our Power BI course in Bangalore with placement assistance focuses on practical business intelligence applications, dashboard design, and performance reporting.
    • TableauLearn how to connect data sources, build charts, create calculated fields, use filters and parameters, and develop interactive dashboards. The Tableau course in Bangalore with placement assistance introduces data visualization techniques that help transform analytical findings into clear business stories. Learners interested in a Tableau Data Analyst certification can also explore the current official certification requirements.
    • Statistics for Data AnalysisUnderstand descriptive statistics, distributions, correlation, sampling, and introductory hypothesis testing to interpret analytical results more effectively.
    • PandasUse Python libraries for data manipulation, numerical calculations, dataset transformation, and exploratory data analysis.
    • NumPyUse Python libraries for data manipulation, numerical calculations, dataset transformation, and exploratory data analysis.
    • MatplotlibCreate charts and statistical visualizations to explore patterns, identify trends, and communicate findings.
    • SeabornCreate charts and statistical visualizations to explore patterns, identify trends, and communicate findings.
    • Jupyter NotebookWrite, execute, and document Python analysis in notebook environments that combine code, explanations, and visual outputs.
    • Google ColabWrite, execute, and document Python analysis in notebook environments that combine code, explanations, and visual outputs.
    • GitManage project versions, organize analytical work, and develop a portfolio that showcases your practical abilities.
    • GitHubManage project versions, organize analytical work, and develop a portfolio that showcases your practical abilities.
    • Business Intelligence & ReportingLearn how to define KPIs, create management reports, design dashboards, and communicate insights to business stakeholders.

    Upcoming Batches For Data Analytics Course with 100% Placement

    Regular Track

    Course Duration:  6 Months

    Training Mode: Offline Class 

    Batch Commencement Dates: Offline:- 2nd  Dec 2026

    Location: Bangalore, Skill Space Solutions campus

    Placements: Yes

    Data Analytics Training in Bangalore with Placement

    Skill Space Solutions | Classroom and Live Online Training

    Skill Space Solutions offers data analytics training in Bangalore that focuses on the tools and techniques used to transform raw data into meaningful business information. The program progresses from spreadsheet-based analysis to database querying, Python programming, dashboard development, and business intelligence reporting.

    Learners receive structured instruction and opportunities to apply their knowledge through practical exercises, guided projects, and case studies. The goal is to develop analytical thinking alongside the technical skills required for entry-level and developing analytics roles.

    Whether you are looking for a data analytics program after graduation or professional training to improve your reporting capabilities, the curriculum provides a structured learning pathway.

    Excel for Data Analytics

    Learn formulas, lookup functions, pivot tables, charts, data cleaning, and spreadsheet-based reporting.

    SQL and Databases

    Retrieve and analyze structured data using SQL queries, joins, grouping, subqueries, and advanced query techniques.

    Python for Data Analysis

    Use Python, Pandas, and NumPy to clean datasets, automate analysis, and perform exploratory data analysis.

    Power BI and Dashboard Development

    Connect data sources, transform data, create relationships, write DAX calculations, and build interactive dashboards.

    Tableau and Data Visualization

    Develop charts, dashboards, calculated fields, filters, and visual stories that communicate analytical findings.

    Statistics and Analytical Thinking

    Understand distributions, descriptive statistics, correlation, and introductory statistical methods for data-driven decisions.

    Data Cleaning and Transformation

    Handle missing values, duplicate records, inconsistent formats, and other data quality issues before analysis.

    Business Intelligence and KPI Reporting

    Create reports that track revenue, sales performance, customer metrics, operational efficiency, and business goals.

    Projects and Certification

    Apply your knowledge through practical assignments and a capstone project. Complete the course requirements to qualify for the institute's course completion certificate.

    Interview and Placement Preparation

    Receive support with resume preparation, project presentation, mock interviews, and placement-related guidance.

    Complete Analytics Curriculum

    From Excel and SQL to Python, Power BI and Tableau, taught step by step from the fundamentals.

    Live Industry-Oriented Projects

    Guided projects, case studies and a capstone project using business-oriented datasets.

    Placement Assistance

    Resume preparation, mock interviews and placement-related guidance, in accordance with institute policy.

    Course Completion Certificate

    Qualify for the institute's course completion certificate by completing the program requirements.

    Practical Training

    Hands-on exercises in every module, so you learn by working with business-style data.

    Classroom and Online Batches

    Classroom training in Bangalore at Koramangala or live online classes, subject to availability.

    For Freshers and Professionals

    A beginner-friendly start for freshers, and a learning pathway for professionals who want stronger reporting, SQL, dashboard and BI skills.

    Career Counselling and Fees

    Talk to a Skill Space Solutions advisor about the right learning path, data analytics course fees in Bangalore and batch timings.

    Structured Learning

    Structured learning from fundamentals to applied analytics.

    Industry-Relevant Tools

    Training in Excel, SQL, Python, Power BI, and Tableau.

    Practical Exercises

    Practical exercises using business-oriented datasets.

    Classroom and Online Options

    Classroom and online learning options, subject to availability.

    Portfolio Development

    Portfolio development through project work.

    Career Guidance

    Career guidance and interview preparation.

    Course Completion Certification

    Course completion certification according to program requirements.

    Placement Assistance

    Placement assistance in accordance with institute policy.

    The aim of Skill Space Solutions is to help learners develop practical analytical capabilities that they can demonstrate through projects, technical discussions, and interviews.

    Data Analytics Course Syllabus in Bangalore: 11 Modules

    Classroom Training Online Training Beginner-Friendly Learning Industry-Oriented Projects

    The syllabus covers spreadsheet analysis, SQL, Python, statistics, data cleaning, visualization, business intelligence, and project-based learning. Beginners can build their understanding progressively, while experienced learners can strengthen their practical skills.

    The data analytics course in Bangalore with placement assistance at Skill Space Solutions is open to freshers and professionals. Choose classroom data analytics training in Bangalore at the Koramangala campus, subject to the confirmed batch schedule, or live online data analytics training, subject to availability, and learn the same 11 modules with industry-oriented projects and interview preparation. It suits learners looking for data analytics courses in Bangalore with placement for freshers as well as working professionals, and it leads to a data analytics certification course in Bangalore certificate from Skill Space Solutions.

    • FoundationLearn Excel, SQL fundamentals, statistics, and the basics of data handling.
    • Advanced ConceptsProgress to Python, data preprocessing, exploratory data analysis, and advanced SQL.
    • Business IntelligenceBuild Power BI and Tableau dashboards, develop KPIs, and communicate business insights.
    • Tools and Career PreparationUse notebook environments, Git, project documentation, and interview preparation techniques.

    Module 1: Excel for Data Analytics

    • Spreadsheet fundamentals, formulas, and functions
    • Logical functions and lookup techniques
    • Sorting, filtering, and data validation
    • Pivot tables and pivot charts
    • Conditional formatting and reporting
    • Basic dashboard development

    Module 2: SQL and Database Management

    • Database fundamentals and relational data
    • SELECT, WHERE, ORDER BY, and GROUP BY
    • Aggregate functions and filtering
    • Inner, left, right, and other relevant joins
    • Subqueries and common table expressions
    • Window functions and business reporting queries

    Module 3: Statistics and Probability

    • Mean, median, mode, and measures of dispersion
    • Probability fundamentals and distributions
    • Sampling and descriptive statistics
    • Correlation and introductory regression concepts
    • Hypothesis testing fundamentals
    • Interpreting statistical findings

    Module 4: Python for Data Analytics

    • Python syntax, variables, and data types
    • Lists, tuples, dictionaries, and sets
    • Conditions, loops, and functions
    • NumPy arrays and numerical operations
    • Pandas Series and DataFrames
    • Reading, manipulating, and exporting datasets

    Module 5: Data Cleaning and Preprocessing

    • Identifying missing values and duplicates
    • Handling inconsistent records
    • Standardizing dates, text, and numerical formats
    • Data transformation and validation
    • Identifying potential outliers
    • Preparing datasets for analysis

    Module 6: Exploratory Data Analysis

    • Understanding dataset structure
    • Univariate and bivariate analysis
    • Identifying patterns and relationships
    • Detecting trends and anomalies
    • Creating exploratory visualizations
    • Summarizing analytical findings

    Module 7: Power BI and Business Intelligence

    • Connecting to Excel, databases, and other data sources
    • Data transformation using Power Query
    • Data modeling and table relationships
    • DAX measures and calculated columns
    • KPI cards, charts, filters, and slicers
    • Interactive dashboards and report development

    Module 8: Tableau and Data Visualization

    • Connecting and preparing data
    • Charts, filters, and calculated fields
    • Parameters and dashboard actions
    • Interactive dashboards and visual storytelling
    • Presenting business insights effectively
    • Publishing and sharing reports where applicable

    Module 9: Advanced SQL and Business Reporting

    • Advanced joins and analytical queries
    • Common table expressions
    • Ranking and window functions
    • Running totals and comparative analysis
    • Business metrics and KPI calculations
    • Query-based reporting on practical datasets

    Module 10: Business Analytics and Data Storytelling

    • Understanding business requirements
    • Translating business questions into analytical tasks
    • Sales, marketing, finance, and operations analysis
    • Dashboard design principles
    • Interpreting trends and performance indicators
    • Presenting recommendations to stakeholders

    Module 11: Capstone Project and Career Preparation

    • End-to-end data analytics project
    • Data preparation and quality checks
    • SQL-based analysis and reporting
    • Python-based exploratory analysis
    • Power BI or Tableau dashboard development
    • Project documentation and portfolio preparation
    • Resume guidance and mock interviews
    • Placement assistance and career preparation

    Practical Data Analytics Projects

    • 01

      Sales Performance Dashboard

      Analyze sales, revenue, product performance, regional trends, and monthly growth using Excel or Power BI.

    • 02

      Customer Behavior Analysis

      Explore customer segments, purchasing patterns, retention indicators, and performance metrics.

    • 03

      SQL Business Analysis

      Use SQL queries to investigate customers, orders, products, revenue, and operational performance.

    • 04

      Financial Reporting Dashboard

      Analyze budgets, expenses, profitability, and key financial indicators through interactive reports.

    • 05

      HR Analytics Dashboard

      Explore employee headcount, department metrics, workforce trends, and attrition indicators using appropriate datasets.

    • 06

      End-to-End Business Intelligence Project

      Combine data cleaning, SQL, Python, and Power BI or Tableau to deliver a complete analytical solution, from raw data to business recommendations.

    Frequently Asked Questions: IT Training & Placements in Bangalore

    Students, fresh graduates, working professionals, and career switchers can join a Data Analytics course. Basic computer knowledge is helpful, and prior programming experience is not always required.

    Yes. Freshers can start with the fundamentals of Excel, SQL, Python, statistics, and data visualization. Practical projects help you build the skills needed for entry-level data analytics roles.

    The course includes placement assistance to help eligible learners prepare for job opportunities through resume building, interview preparation, and career guidance. Actual placement depends on individual skills, performance, and employer requirements.

    The duration depends on the course syllabus, training schedule, and learning format. Contact Skill Space Solutions for the current batch duration and available weekday or weekend schedules.

    You will learn industry-relevant tools such as Microsoft Excel, SQL, Python, Power BI, and Tableau, along with statistics, data cleaning, data visualization, and reporting techniques.

    No prior coding experience is necessarily required. You can begin with Excel and SQL before progressing to Python for data analysis. The course introduces programming concepts step by step.

    Depending on your skills and experience, you can apply for roles such as Data Analyst, Junior Data Analyst, MIS Analyst, Reporting Analyst, Business Intelligence Analyst, or Power BI Developer.

    Data Analytics focuses on examining data to identify trends, answer business questions, and support decisions. Data Science generally involves broader statistical modeling, machine learning, and predictive techniques.

    The training is designed to include practical, industry-oriented projects, such as sales dashboards, customer analysis, business reporting, and data visualization, helping you apply what you learn to business scenarios.

    You can contact Skill Space Solutions to enquire about the syllabus, fees, upcoming batches, training mode, and placement assistance. The team can help you choose a suitable batch based on your learning goals.

    Get in Touch with Us!

    Start your journey to getting placed. We bridge the gap between learning and earning with intensive mock interviews, resume benchmarking, and direct walk-in drives across top MNCs and high-growth tech companies in Bangalore.

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