Business Analyst to Data Analyst Course

Python • SQL • Excel • Power BI • Data Visualization

Quality Thought‘s business analyst to data analyst course is designed for business analysts, MIS executives and reporting professionals who want to strengthen their skills in Excel, SQL, Power BI, Python, statistics, data visualization and generative AI. The program combines practical analytics training with hands-on exercises and real-world applications to help experienced professionals build stronger data-driven capabilities. Explore More Courses from Quality Thought to discover additional career-focused training programs.

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Batch Details & Schedule

Choose a learning format and schedule that fits your lifestyle

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Course Duration

Course Features & Highlights

Everything you need to build practical Data Analytics skills

Live Projects

Work on real-world projects from day one with industry use cases

Expert Trainers

Learn from industry professionals with 10+ years of experience

100% Placement Support

Dedicated placement cell with assistance until you get hired

Industry Certification

Get certified and boost your resume with recognized credentials

LMS Access

Access to learning materials and recorded sessions

Mock Interviews

Weekly mock interviews to prepare you for real job scenarios

Resume Building

Professional resume preparation and LinkedIn profile optimization

Soft Skills Training

Communication, aptitude, and personality development sessions

Additional Benefits

●   Pay After Placement Options Available

●   Flexible Payment Plans

●   6-12 Months LMS Access

●   Doubt Clearing Sessions

●   24/7 Learning Support

●   Mega Job Drives

Choose Your Learning Path

Select the program that best fits your career goals and availability

Exclusive Training

⏱ 1.5-3 hrs/day

Best for: Beginners & learners

POIP (Placements Oriented Intensive Program)

⏱ 6 hrs/day

Best for: Job seekers aiming for placements

Company Oriented Internship Program(COIP)

⏱  6–8 Hours Daily

Best for: Learners seeking internship + placement assistance

Not sure which program to choose? Contact our counselors for a free consultation. We’ll help you select the best program based on your background, goals, and availability.

Complete Data Analyst Course Curriculum

Comprehensive modules covering Python, SQL, Excel, Power BI, statistics, data visualization, and data analysis

Python for Data Analytics
  • Python Basics
  • Python Introduction
  • Python Data Structures: Lists and Arrays
  • Conditions and Branching
  • Functions and Methods
  • Objects and Classes
  • Practice Questions in Python
  • Introduction to NumPy
  • Linear Algebra in NumPy
  • Seaborn and Matplotlib
  • Introduction to Pandas
  • Introduction to Probability
  • Probability Distributions
  • Describing Distributions
  • Probability Distribution with Multiple Variables
  • Population and Sample
  • Point Estimate
  • Confidence Interval
  • Hypothesis Testing
  • A/B Testing
  • Derivatives
  • Optimization
  • Gradients
  • Gradient Descent
  • Optimization in Neural Networks
  • Newton Methods
  • System of Linear Equations
  • Elimination Method
  • Row and Row Reduced Echelon Form
  • Vector Algebra
  • Linear Transformation
  • Determinants
  • Eigenvalues and Eigenvectors
  • Arrays
  • Strings
  • Linked Lists
  • Searching Algorithms
  • Sorting Algorithms
  • Divide and Conquer
  • Stack
  • Queue
  • Tree Data Structures
  • Graph Data Structures
  • Dynamic Programming
  • Basic Plotting for Data Visualization
  • Data Manipulation for Visualization
  • 1D Data Analysis
  • Histograms
  • Boxplots
  • Violin Plots
  • Project 2: Visualization of World GDP and Carbon Dioxide Emissions
  • Project 3: Using Folium Library for Geographic Overlays
  • Introduction to Power BI
  • Data Extraction Process
  • Data Transformations
  • Data Modeling and DAX
  • Data Visualization with Analytics
  • Power BI Q&A
  • Data Insights
  • RDBMS Principles
  • Installing a DB Engine
  • SQL Syntax and Data Types
  • Operators, Expressions and Comments
  • Data Definition Language (DDL)
  • Data Manipulation Language (DML)
  • Grant and Revoke
  • SQL Functions
  • Joins: Self, Left, Right and Full Outer
  • Queries and Subqueries
  • SQL Clauses
  • SQL Window Functions
  • SQL Real-Time Examples
  • SQL Live Practice Sessions
  • Number Functions

    • SUM
    • AVERAGE
    • MAX
    • MIN
    • COUNT
    • COUNTA
    • ABSOLUTE

    Arithmetic Functions

    • SUMIF
    • SUMIFS
    • COUNTIF
    • COUNTIFS
    • AVERAGEIF
    • AVERAGEIFS

    Text Functions

    • UPPER
    • LOWER
    • PROPER
    • LEFT
    • MID
    • RIGHT
    • CONCATENATE

    Time & Date Functions

    • TODAY
    • NOW
    • DATE
    • DATEADD
    • DAY
    • MONTH
    • YEAR
    • WEEKDAY
    • FORMAT

    Pivot Tables

    • Creating Simple Pivot Tables
    • Classic Pivot Tables
    • Basic and Advanced Value Field Settings
    • Calculated Fields and Calculated Items
    • Grouping Based on Numbers and Dates

    Slicers & Charts

    • Using Slicers to Filter Data
    • Bar Charts
    • Pie Charts
    • Line Charts
    • Managing Primary and Secondary Axis

    Lookup Functions

    • VLOOKUP
    • HLOOKUP
  • Communication Skills

    • Roots of Communication
    • 7 Cs of Communication
    • Roots of Grammar
    • Parts of Speech
    • Sentence Structure Development
    • Tense Logic
    • Worksheet Sessions

    Speech Intelligence

    • Vocabulary Development
    • Usage of Words
    • Group Discussions
    • JAMs
    • Debates
    • Public Speaking

    Personality Development

    • Imagination and Innovation Training
    • Centralized Brainstorming
    • Problem-Solving Skills
    • Decision Making

    Management Skills

    • Time Management
    • Team Building
    • Task Management
    • Leadership Skills
  • Interview Skills

    • Employability
    • Think Like a Professional
    • Clearing HR Rounds
    • Salary Negotiation
    • Bond Negotiation

    Presentation Skills

    • Research Skills
    • Public Speaking
    • Visualization
    • Whiteboard Presentation
    • PowerPoint
    • My Dream Company Research
    • Content Creation

    Creativity & Critical Thinking

    • Mind Mapping
    • Role Plays
    • Mock Interview on the Hot Seat
    • Listening Skills
    • Critical Thinking
    • SWOT Analysis
    • Thought Analysis / Prioritization
  • Arithmetic

    • Problems on Numbers and Simplification
    • Equations
    • LCM & HCF and Fractions
    • Average
    • Ratio & Proportion
    • Problems on Ages
    • Alligation & Mixtures
    • Percentages
    • Profit and Loss
    • Time and Work
    • Chain Rule, Pipes & Cisterns
    • Time and Distance
    • Problems on Trains
    • Boats and Streams
    • Simple and Compound Interest
    • Problems on Areas
    • Calendar
    • Clocks
    • Permutations and Combinations
    • Probability
    • Data Interpretation

    Reasoning

    • Puzzles
    • Blood Relations
    • Coding and Decoding
    • Ranking Test
    • Seating Arrangement
    • Series — Numeric and Alphanumeric
    • Data Sufficiency

Comprehensive Data Analyst Program

Practical training with Python, SQL, Power BI, Advanced Excel, data visualization, case studies and projects.

Prerequisites & Eligibility

Everything you need to get started with Data Analytics

  • Willingness to learn Python, SQL, Excel and Power BI
  • Commitment to practical learning through case studies and projects
  • Any Graduate
  • Interest in Data Analytics and working with data

Special Note: This program can support professionals exploring data analytics for finance course applications, learners planning a career change to data analytics, candidates looking for data analytics training in Hyderabad, and organizations considering structured data analytics corporate training for their teams.

Why Choose Quality Thought

Your success is our priority. Here’s what makes us the best choice for your career growth

17+

Years Experience

10,000+

Students Trained

500+

Hiring Partners

95%

Placement Rate

17+ Years of Excellence

Established training institute with proven track record of producing industry-ready professionals

Expert Faculty

Learn from trainers with 10+ years of real-world industry experience in leading tech companies

100% Placement Assistance

Dedicated placement cell with tie-ups with 500+ companies. We support you until you get hired

Comprehensive Curriculum

Updated syllabus covering latest technologies and industry best practices with hands-on projects

Career Growth Focus

Not just training, but complete career transformation with soft skills and interview preparation

Pay After Placement

Flexible payment options including pay after placement for eligible candidates

Flexible Batches

Multiple batch timings to suit working professionals, students, and freshers

Live Project Experience

Work on real client projects during internship at Ramana Soft IT company

Quality Thought’s practical learning approach can provide structured exposure through a data analytics bootcamp course, practical industry experience through a Data Analytics Internship Course, career-focused support through a Data Analytics Job Assistance Course, and hands-on implementation through a Data Analytics Real Time Project.

Certification

Earn a course completion certificate that validates your Data Analytics training and project experience

Certificate of Completion

Data Analyst

This certifies that

[Your Name]

has successfully completed the

Data Analyst

Training Program

Quality Thought

Ameerpet, Hyderabad

Certificate ID

QT-2028-XXXX

Industry Recognition

Certificate provided upon successful completion of the Data Analyst training program.

Skill Validation

Validates your training in Data Analytics, Python, SQL, Excel, Power BI, statistics, and data visualization.

Career Advancement

Recognizes practical learning through live projects and case studies included in the program.

Digital & Physical

Certificate options can be presented as applicable to the selected training program.

Course Certificate

Upon successful completion of training program

Internship Certificate

For I&I program from Ramana Soft IT Company

Project Certificate

For major projects completed during training

Frequently Asked Questions

Find answers to common questions about our Data science with AI training program

It replaces manual recurring work with modelled and automated work: SQL instead of exports, a Power BI semantic model instead of multiple pivot tables, and Python scripts instead of monthly copy-paste cycles. It also introduces generative AI capabilities that can complement a data analytics with generative AI course.

Yes, and it is one of the most natural transitions available because MIS work already involves data sourcing, reconciliation and stakeholder reporting. The gap is usually SQL depth, data modelling and visualization, which this program develops. These skills can also be relevant when preparing for data analytics jobs USA.

It covers Power BI Desktop, data modelling with star schemas and relationships, DAX measures and time intelligence, filter context, row-level security, report design, and publishing and refresh in the Power BI Service. 

Advanced Excel covers INDEX-MATCH and XLOOKUP, dynamic arrays, Power Query for cleaning, the data model and Power Pivot, pivot table depth, and dashboard construction. The structured approach can also support learners who began with a data analytics course for freshers and are now developing more advanced analyst skills.

SQL coverage runs from joins and aggregates through window functions, subqueries and CTEs, date and period-comparison logic for reporting, and enough performance awareness to read a query plan. 

The routine parts of reporting are being automated, which is precisely why the role is shifting toward modelling, data quality and interpretation. Analysts who can model data and verify AI output are more secure than those producing manual reports. 

Yes, and the course teaches it deliberately, along with the verification habits that make it safe: checking joins, row counts and totals rather than trusting generated queries. 

Confirm current weekday-evening and weekend batch timings before publishing them. 

Not for every analyst role, but it is what lets you automate recurring work, handle datasets too large for Excel, and do exploratory analysis that dashboards cannot. A data analytics certification can also help document the skills developed through structured analytics training.

Expect questions on star schema design, DAX filter context, SQL window functions, how you would handle a reconciliation discrepancy, and how you would explain a misleading chart to a stakeholder. When evaluating training options, consider practical projects, interview preparation and current industry relevance when comparing the best data analytics course 2026.
Ready To Become a Data Analyst?

Don’t wait! Start building practical data analytics skills with Quality Thought. Learn Python, SQL, Power BI, Advanced Excel, statistics, and data visualization through hands-on training, case studies, and projects. Take the next step toward your career in Data Analytics.

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