Hyderabad
    Posted: 14 days ago by Institute / School / Tutor
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    Best Data Science Training in Hyderabad Datajango

    Courses
    Software Training
    Locality
    Hitech City
     
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    Description for "Best Data Science Training in Hyderabad Datajango"

    We offer Best Data Science, Machine Learning Training in Online and Classroom Modes. We made training easy by providing online classes for working personal. This online training will help people staying abroad as well. The course design is placement oriented for passionate people.

    Data science, is an interdisciplinary field of scientific methods, processes, algorithms and systems to extract knowledge or insights from data in various forms, either structured or unstructured.
    The most important interdisciplinary field of all is Machine Learning (a branch of Artificial Intelligence). Simply speaking, Machine Learning is the field of study, that gives computers the ability to learn from data, without being explicitly programmed.

    In this course we will cover all necessary concepts to make a successful Data Scientist. The concepts we cover are Descriptive Statistics, Inferential Statistics, Basic Python, Pandas, NumPy, StatsModels, Scikit-Learn, Mathematics behind Machine Learning Algorithms (Gradient Descent, SVM, Kernal SVM, etc.), error analysis and most of the accuracy measures, techniques of fine tuning the model.

    Course Content:

    1. Introduction to Data Science/Data Analytics
    What is Data Science
    Why Data Science
    Applications of Data Science
    How much of statistics
    How much of mathematics
    How much demand in IT industry
    3. Data Distributions
    5. Introduction to Python
    7. Introduction to Pandas
    9.Exploratory Data Analysis
    11. Regression Analysis (ML statsmodels)
    13. Multiple/Polynomial regression (scikit-learn)
    15. Model Evaluation and Error Analysis
    17. Classification (Supervised Learning)
    19. Clustering (Unsupervised Learning)
    21. Tree Based Algorithms
    23. Naive Bayes
    25. Introduction to Hadoop
    27. Introduction to Neural Networks

     

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