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Data Science Training in hebbal

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    Best Data Science Training in hebbal

    Are you ready to start a high-paying and exciting career in data science? Learn More Technologies offers the best Data Science Training in Hebbal designed to help you grow fast in the tech industry. Our program is made for beginners and professionals who want to build a strong career in data analytics and artificial intelligence.

    We teach every topic in a simple and easy-to-understand way using real-life projects and examples. You will learn powerful tools like Python, SQL, Excel, Power BI, and Machine Learning that top companies use every day.

    Our trainers are industry experts who guide you personally to make sure you learn every concept clearly. With 100% placement support and flexible class timings, we help you get job-ready quickly.

    • Easy Online Learning Platform
    • 98% Course Completitation Rates
    • Friendly Enviroments & Teachers

    Learn More Technologies: Best Data Science Training in Hebbal

    Kickstart your coding career with the best Data Science Training in Hebbal at Learn More Technologies. Our expert trainers teach Python, SQL, Excel, Power BI, and Machine Learning through real projects. With simple lessons, hands-on practice, and 100% placement support, we help you gain the skills and confidence to secure high-paying jobs in data science and analytics.

    Instagram

    Instagram uses software testing to check every feature before release. It tests Reels, Stories, filters, and messaging for bugs.

    Pinterest

    Pinterest uses software testing to check features like pins, boards, search, and recommendations for errors.

    Dedicated Placement Support

    Dedicated Placement Support uses software testing to check job portals, resume uploads, and interview scheduling systems for errors. It tests notifications, alerts, and tracking features to ensure they work correctly.

    Reddit

    Reddit uses software testing to check features like posts, comments, upvotes, and notifications for bugs. It tests app speed, moderation tools, and cross-device compatibility.

    Quora

    Quora uses software testing to ensure its platform works smoothly. They test new features, fix bugs, check for errors in answers, and verify login, search, and notifications

    Spotify

    ChatGPT said: Spotify uses software testing to ensure music streams smoothly and playlists work correctly. They test app updates, detect bugs, check audio quality, and verify recommendations.

    Netflix

    Netflix uses software testing to ensure videos play smoothly and apps work on all devices. They test new features, fix bugs, check streaming quality, and verify recommendations

    Uber

    Uber uses software testing to ensure rides are booked accurately and drivers are matched correctly. They test app updates, fix bugs, check GPS accuracy, and verify payments

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    About Us

    Looking for the best Data Science training in Hebbal? Learn More Technologies is your ultimate choice! We stand out from other institutes in Bangalore because we focus on practical learning, not just theory. Our expert trainers teach Python, R, Machine Learning, AI, and Data Visualization using real-world projects. We provide 100% hands-on training, so you gain skills that top companies actually need. Unlike other institutes, we offer personalized attention, small batches, and flexible timings to fit your schedule. Our dedicated placement support helps you land jobs in leading IT and analytics companies faster. We also provide continuous guidance even after course completion, making your learning journey smooth and confident. Join us now to experience a unique, result-driven, and career-focused Data Science training in Hebbal that truly transforms your future!

    About MORE

    Data Science Course Syllabus

    Module 1: Introduction to Artificial Intelligence

    1. Introduction to AI
    2. Difference between Data Science, AI, and Machine Learning
    3. Key skills required for AI
    4. Industry use cases

    Module 2: Python Packages (2 hours)

    • Pandas
    • NumPy
    • Scikit-Learn
    • Matplotlib
    • Seaborn

    Module 3: Importing Data

    • Reading data from various formats:
       CSV File
       Excel
       JSON File
       Databases

    • Exporting data to:
      CSV File
      Excel

    Module 4: Data Cleaning

    • Handling empty cells
    • Correcting wrong formats
    • Fixing wrong data
    • Removing duplicates

    Module 5: Statistical Functions with Pandas

    • Window Functions
    • Aggregations
    • Handling Missing Data
    • GroupBy Operations
    • Merging and Joining
    • Concatenation
    • Date Functionality
    • Timedelta Operations

    Module 5: Statistical Functions with Pandas

    • Window Functions
    • Aggregations
    • Handling Missing Data
    • GroupBy Operations
    • Merging and Joining
    • Concatenation
    • Date Functionality
    • Timedelta Operations

    Module 6: Statistics

    1. Measures of Central Tendency:
    • Mean
    • Median
    • Mode
    2. Skewness
    3. Normal Distribution

    Module 7: Probability

    • Introduction to Probability
    • Types of Probability
    • Additive Theorem
    • Multiplicative Theorem
    • Bayes’ Theorem

    Module 8: Standard Deviation and Variance

    • Understanding Data Deviation
    • Calculating Variance

    Module 9: Bias-Variance Tradeoff

    • Understanding Bias and Variance
    • Concepts of Underfitting and Overfitting

    Module 10: Distance Formulas

    • Manhattan Distance
    • Euclidean Distance

    Module 11: Outlier Analysis

    1. Understanding Outliers
    2. Identifying Outliers:
    • Interquartile Range (IQR)
    • Box and Whisker Plot
    • Scatter Plot
    3. Handling Outliers:
    •  Calculations and Impact on Mean, Median, and Mode

    Module 12: Correlation

    • Pearson Correlation
    • Positive and Negative Correlation

    Module 13: Regression Metrics

    • Mean Absolute Error (MAE)
    • Mean Squared Error (MSE)
    • R-squared (R²) Score
    • Root Mean Squared Error (RMSE)

    Module 14: Classification Metrics

    • Classification Accuracy
    • Logarithmic Loss
    • Area Under the Curve (AUC)
    • F1 Score
    • Precision
    • Recall

    Module 15: Confusion Matrix

    • Understanding and Interpretation

    Module 16: Machine Learning Basics

    1. Machine Learning Tutorial
    2. Applications of Machine Learning
    3. Life Cycle of Machine Learning Projects
    4. Installing Anaconda & Python
    5. AI vs Machine Learning
    6. Dataset Collection and Preprocessing
    7. Types of Machine Learning:
    • Supervised Learning
    • Unsupervised Learning

    Module 17: Supervised Learning

    1. Regression Analysis:
    • Linear Regression
    • Simple Linear Regression
    • Multiple Linear Regression
    • Lasso Regression

    2. Classification:
    • Logistic Regression
    • K-Nearest Neighbors (K-NN) Algorithm
    • Naïve Bayes Classifier

    Why Data Science?

    Data Science is one of the fastest-growing and most in-demand careers today. Companies like Google, Amazon, Microsoft, and IBM use data science to make smart decisions, predict trends, and improve business performance. Every industry, from healthcare to finance, relies on data to stay ahead. Learning data science gives you high-paying job opportunities and a chance to work on real-world projects. Our course in Hebbal is special because we focus on practical skills, live projects, and industry-relevant tools. Unlike other institutes in Bangalore, we provide small batches, personalized training, and 100% placement support. Our expert trainers guide you step by step, making complex topics simple. Choosing data science now will secure your future and open doors to global career opportunities. Start your journey with us today!

    Practical Hands-On Learning

    Data Science opens multiple career paths like Data Analyst, Data Scientist, and Machine Learning Engineer. Companies worldwide are hiring skilled professionals. Our course ensures students gain the knowledge and confidence to secure high-paying jobs and grow fast in their careers

    Practical Hands-On Learning

    Students work on live projects and real datasets. Tools like Python, R, SQL, and Tableau are taught with practical examples. This approach helps students solve real-world problems, making them industry-ready and confident in applying their skills

    Placement & Industry Support

    We provide dedicated placement support, resume guidance, and interview preparation. Students receive mentorship and mock interviews to face top companies. This support increases job placement chances and prepares them for a successful data science career

    Software Tester Job Resposibilty

    A Software Tester ensures that software works correctly and meets user requirements. They identify bugs, verify features, and improve software quality. Their role is vital for delivering reliable, efficient, and user-friendly applications in any organization.

    Test Planning

    • Create a plan for testing software.
    • Decide what features to test and how to test them.
    • Set priorities and timelines for testing tasks.

    Test Case Design

    • Write detailed test cases to check software functionality.
    • Ensure test cases cover all scenarios and requirements.
    • Keep test cases clear and easy to follow.

    Executing Tests

    • Run tests on software applications.
    • Identify bugs, errors, or unexpected behavior.
    • Test on different devices, browsers, or platforms.

    Reporting Defects

    • Document and report any bugs found.
    • Include steps to reproduce the issue and severity.
    • Communicate issues clearly to developers.

    Regression Testing

    • Re-test software after fixes or updates.
    • Ensure new changes do not break existing features.
    • Maintain software stability and quality.

    Collaboration & Feedback

    • Work with developers and project teams.
    • Provide feedback on software usability and improvements.
    • Participate in team meetings to enhance software quality.

    FAQ

    Our course combines real-time projects, expert trainers, and industry exposure. Students learn practical skills with Python, R, SQL, and Tableau, making them job-ready and confident for top data science roles

    Yes. The course starts from basics like Python programming and gradually moves to advanced topics. Beginners can easily follow along and gain practical experience

    Absolutely. Students work on live datasets and industry-relevant projects, helping them understand real-world challenges and develop problem-solving skills

    Yes. Learn More Technologies provides a recognized Data Science course completion certificate. This certificate boosts your resume and credibility with top companies.

    Students can pursue roles like Data Analyst, Data Scientist, Business Analyst, Machine Learning Engineer, and AI Specialist in top companies like Amazon, Google, and Microsoft.

    Yes. We offer dedicated placement assistance, mock interviews, resume building, and career guidance to help students secure jobs efficiently in reputed companies

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