+91 9985299399
JNTU, Hyderabad
bantacademyofficial@gmail.com
India's #1 Practical-Oriented AI-Powered Data Analytics Training in Hyderabad

Master 28 Data Analytics modules with Live Campaigns, Case Studies & Performance Optimization

Our infrastructure management approach is holistic, addressing capacity monitoring, data storage, network utilisation, asset lifecycles, software patching, wired and wireless networking and more. And with increasing demand for more sustainability in their setups, we can advise organisations on IT infrastructure

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Learn from 14+ Years experienced Data Science Professionals
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Practice by building strategies for real set of clients.
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Hybrid mode of leaning - Online | Offline | Recorded Sessions
4
Guaranteed placements & internships asistance for every candidate
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7 Real-time projects
6
Earn 7 certifications and badges
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Learn to Implement 20+ AI tools
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180+ Hours of Learning
9
40 Hours of Practical Implementation

2460 No. of students purchased the course so far

Over 300+ reviews
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      Data Science Course in Hyderabad

      Our infrastructure management approach is holistic, addressing capacity monitoring, data storage, network utilisation, asset lifecycles, software patching, wired and wireless networking and more. And with increasing demand for more sustainability in their setups, we can advise organisations on IT infrastructure

      1
      Online & Classroom Available Online & Classroom Available
      2
      Online & Classroom Available Online & Classroom Available
      3
      Online & Classroom Available Online & Class room Available
      4
      Online & Classroom Available Online & Classroom Available
      5
      Online & Classroom Available Online & Classroom Available
      6
      Online & Classroom Available Online & Classroom Available
      Over 300+ reviews
      Download Curriculum
      ~ Student Placements ~

      success stories

      We’ve been lucky to collaborate with a long list of customers,
      located in and out of the country. Thanks to them we have grown as professionals.
      students
      students
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      Testimonial Videos

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      Accreditations and Certification

      We’ve been lucky to collaborate with a long list of customers,
      located in and out of the country. Thanks to them we have grown as professionals.

      Earn Your Certification

      By optimizing your body’s innate capacity to heal, many chronic diseases can be mitigated.
      1
      We’ve created a paradigm to enhance this healing potential by taking all aspects.
      2
      Our courses are made with experts, pack a ton of value and are binge-able.
      3
      This approach to health care addresses the root causes of disease and views the body as one integrated system.
      certificate
      Course Highlights
      However, it can easily be configured to make and receive external calls as well. And as both a Microsoft Gold partner and experts in unified communications solutions, Akita was well placed to deliver the solution. As Canenco was starting largely from scratch, all IT hardware was required.
      • General Question
      • IT Consulting
      • Softwer Development
      • Data Backup & Recovery
      Do I need prior Python experience?
      No, we start from the basics and progress to data science applications. The course is designed for absolute beginners.
      Which Python libraries will I learn?
      Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn. These are the industry standard tools for data science.
      Will I work with real datasets?
      Yes, you'll work on real-world datasets throughout the course to build practical, hands-on experience.
      How is Python used in data science?
      For data cleaning, analysis, modeling, and visualization. It's the most versatile language for data work.
      How quickly can I learn Python for data science?
      Most students become comfortable within 4-6 weeks with consistent practice and our guided curriculum.
      What's the difference between AI and machine learning?
      AI is the broader concept of machines simulating intelligence; machine learning is a subset where systems learn from data patterns.
      Do I need advanced math?
      Basic math helps, but we explain concepts in simple, practical terms without complex formulas.
      What types of algorithms will I learn?
      Regression, classification, clustering, and neural networks covering both supervised and unsupervised learning.
      Will I build real ML models?
      Yes, you'll build and deploy multiple models using real-world datasets and industry tools.
      How do I choose the right algorithm?
      We teach you to select based on your data type, problem statement, and desired outcomes.
      Why is visualization important?
      It helps uncover hidden patterns and communicate complex findings to non-technical stakeholders effectively.
      What tools will I learn?
      Matplotlib, Seaborn, Plotly, Power BI, and Tableau for both coding and drag-and-drop visualization.
      What's exploratory vs explanatory visualization?
      Exploratory is for your own analysis; explanatory is designed to present clear insights to others.
      How do I pick the right chart?
      We teach you based on data type, relationships, and what you want your audience to understand.
      What makes a good data story?
      Clear visuals, logical narrative flow, and insights that drive actionable business decisions.
      Do I need prior Python experience?
      No, we start from the basics and progress to data science applications. The course is designed for absolute beginners.
      Which Python libraries will I learn?
      Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn. These are the industry standard tools for data science.
      Will I work with real datasets?
      Yes, you'll work on real-world datasets throughout the course to build practical, hands-on experience.
      How is Python used in data science?
      For data cleaning, analysis, modeling, and visualization. It's the most versatile language for data work.
      How quickly can I learn Python for data science?
      Most students become comfortable within 4-6 weeks with consistent practice and our guided curriculum.
      students (2)
      Swapna Kaira
      Support Person
      Contact with us Any time!
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      Best Course

      Why data science course?

      Data Science is one of the fastest-growing career paths today. It helps you turn raw data into powerful insights, make smarter business decisions, and unlock high-paying opportunities across industries like IT, finance, healthcare, and e-commerce.

      student
      Designing

      Data Analysis & Visualization

      Learn how to clean, analyze, and present data using real-world tools to uncover meaningful insights that businesses rely.
      Development

      Python & SQL for Data Science

      Master industry-standard programming languages to handle large datasets, automate tasks, and work with databases efficiently.
      Marketing Strategy

      Machine Learning & Predictive Modeling

      Build intelligent models that predict trends, automate decisions, and solve complex problems using practical ML techniques.
      User Experience

      Data Storytelling & Decision Making

      Convert complex data into clear stories and dashboards that stakeholders can easily understand and act upon.
      Marketing Strategy

      Statistics & Business Intelligence

      Understand the core statistical concepts needed to interpret data correctly and support confident business decisions.
      Strategy

      Career-Focused Projects & Real-World Use Cases

      Work on hands-on projects designed around real industry problems to build a strong portfolio and job-ready skills.

      Start Your Tech Career with the Right Training

      Hands-on courses designed to make you job-ready with real-time projects and expert mentorship.
      Trusted By The India's Best Organizations

      Why Choose Us

      We combine industry expertise, hands-on learning, and dedicated support to help you build real-world skills and achieve career success. Our approach is practical, transparent, and focused on long-term growth.

      Industry-Relevant Training

      Learn with a curriculum designed around current market demands, real projects, and practical use cases.

      Expert Mentorship

      Get guidance from experienced professionals who help you understand concepts, not just memorize them.

      Real-World Projects

      Work on live projects that strengthen your portfolio and prepare you for actual job challenges.

      Career & Job Assistance

      From resume building to interview preparation and job referrals, we support you until placement.
      Steps
      How it Works

      How Job Assistance Works

      We follow a structured and transparent process to help you move confidently from learning to employment.

      Profile Evaluation
      We review your resume, skills, and career goals to understand where you stand and what roles suit you best.
      01
      Skill & Interview Preparation
      Get support with mock interviews, real-world case discussions, and technical assessments.
      02
      Job Referrals & Placement Support
      Once you’re ready, we share relevant job openings and refer your profile to our hiring partners. You’ll receive continuous support until you successfully secure a suitable role.
      03
      Job Referrals & Placement Support
      Once you’re ready, we share relevant job openings and refer your profile to our hiring partners. You’ll receive continuous support until you successfully secure a suitable role.
      04
      Job Referrals & Placement Support
      Once you’re ready, we share relevant job openings and refer your profile to our hiring partners. You’ll receive continuous support until you successfully secure a suitable role.
      05

      Partnered Companies

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      Find the Course That Fits Your Career Goals

      Practical training, expert instructors, and career support to help you succeed faster.
      Trusted By The India's Best Organizations

      Why Choose Us

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      01

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      02

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      03

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      Course Highlights
      However, it can easily be configured to make and receive external calls as well. And as both a Microsoft Gold partner and experts in unified communications solutions, Akita was well placed to deliver the solution. As Canenco was starting largely from scratch, all IT hardware was required.
      • General Question
      • IT Consulting
      • Softwer Development
      • Data Backup & Recovery
      Do I need prior Python experience?
      No, we start from the basics and progress to data science applications. The course is designed for absolute beginners.
      Which Python libraries will I learn?
      Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn. These are the industry standard tools for data science.
      Will I work with real datasets?
      Yes, you'll work on real-world datasets throughout the course to build practical, hands-on experience.
      How is Python used in data science?
      For data cleaning, analysis, modeling, and visualization. It's the most versatile language for data work.
      How quickly can I learn Python for data science?
      Most students become comfortable within 4-6 weeks with consistent practice and our guided curriculum.
      What's the difference between AI and machine learning?
      AI is the broader concept of machines simulating intelligence; machine learning is a subset where systems learn from data patterns.
      Do I need advanced math?
      Basic math helps, but we explain concepts in simple, practical terms without complex formulas.
      What types of algorithms will I learn?
      Regression, classification, clustering, and neural networks covering both supervised and unsupervised learning.
      Will I build real ML models?
      Yes, you'll build and deploy multiple models using real-world datasets and industry tools.
      How do I choose the right algorithm?
      We teach you to select based on your data type, problem statement, and desired outcomes.
      Why is visualization important?
      It helps uncover hidden patterns and communicate complex findings to non-technical stakeholders effectively.
      What tools will I learn?
      Matplotlib, Seaborn, Plotly, Power BI, and Tableau for both coding and drag-and-drop visualization.
      What's exploratory vs explanatory visualization?
      Exploratory is for your own analysis; explanatory is designed to present clear insights to others.
      How do I pick the right chart?
      We teach you based on data type, relationships, and what you want your audience to understand.
      What makes a good data story?
      Clear visuals, logical narrative flow, and insights that drive actionable business decisions.
      Do I need prior Python experience?
      No, we start from the basics and progress to data science applications. The course is designed for absolute beginners.
      Which Python libraries will I learn?
      Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn. These are the industry standard tools for data science.
      Will I work with real datasets?
      Yes, you'll work on real-world datasets throughout the course to build practical, hands-on experience.
      How is Python used in data science?
      For data cleaning, analysis, modeling, and visualization. It's the most versatile language for data work.
      How quickly can I learn Python for data science?
      Most students become comfortable within 4-6 weeks with consistent practice and our guided curriculum.
      ~ Pricing Plan ~

      Our Awesome Pricing Plans

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      Our purpose is to build solutions that remove barriers preventing people.
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      • Security management
      • Secure finance backup
      • Remote support
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      Online Classes

      We encourage every team member to be a whole person. We have a flexible.
      70,000
      • 24/7 system monitoring
      • Security management
      • Secure finance backup
      • Remote support
      Get a free trial

      FAQs

      Freequently Asked Question

      What is Data Analytics in simple words?
      Data Analytics is the process of examining raw data to find useful insights and patterns that help businesses make better decisions. It involves working with tools like Excel, SQL, Python, and visualization platforms to understand and interpret data.
      Is Data Analytics a good career option in India?
      Yes, Data Analytics is one of the fastest-growing career fields in India. Companies in IT, finance, healthcare, e-commerce, and startups are actively hiring data analysts to help them make data-driven decisions.
      Who can join the Data Analytics course?
      This course is suitable for freshers, graduates, working professionals, engineers, B.Com, B.Sc, BBA, MBA students, and even non-IT professionals who want to switch careers. No advanced technical background is required.
      Do I need coding knowledge to learn Data Analytics?
      Basic computer knowledge is enough to start. The course begins from fundamentals and gradually introduces tools like Excel, SQL, and Python in a beginner-friendly way.
      What tools will I learn in this course?
      You will learn Excel for data analysis, SQL for database management, Python for analytics, data visualization tools like Power BI or Tableau, and basic statistics required for data interpretation.
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