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    Certified Data Science Specialist

    BY
    Edvancer Eduventures

    Brochure Enquire
    Mode

    Online

    Duration

    150 Hours

    Fees

    ₹ 24995 56900

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study, Virtual Classroom
    Mode of Delivery Video and Text Based
    Frequency of Classes Weekends

    Course and certificate fees

    Fees information
    ₹ 24,995  ₹56,900
    certificate availability

    Yes

    certificate providing authority

    Edvancer Eduventures

    The syllabus

    Module 1: Predictive Analytics in R

    Introduction to business analytics
    • What is analytics & why is it so important?
    • Applications of analytics
    • Different kinds of analytics
    • Various analytics tools
    • Analytics project methodology
    • Real world case study
    R Training
    • Fundamentals of R
    • Data visualization in R
    • Data preparation and cleaning using R
    Setting the base of business analytics
    • Understanding the data using univariate statistics in R
    • Hypothesis testing and ANOVA in R to guide decision making
    Predictive modelling in R
    • Correlation and Linear regression
    • Logistic regression
    • Techniques of customer segmentation
    • Time series forecasting techniques
    • Decision trees & Random Forests
    • Boosting Machines
    • Cross Validation & Parameter Tuning

    Module 2: Machine Learning in Python

    Introduction to Machine Learning in Python
    • What is machine learning & why is it so important?
    • Applications of machine learning across industries
    • Machine Learning methodology
    • Machine Learning Toolbox
    • Tool of choice- Python: what & why?
    • Course Components
    Python Training
    • Introduction to Python
    • Iterative Operations & Functions in Python
    • Data Summary; Numerical and Visual in Python
    • Data Handling in Python using NumPy & Pandas
    Machine Learning in Python
    • Basics of Machine Learning
    • Generalised Linear Models in Python
    • Tree Models using Python
    • Boosting Algorithms using Python
    • Support Vector Machines (SVM) and KNN in Python
    • Unsupervised learning in Python
    • Neural Networks
    • Text Mining in Python
    • Ensemble Methods in Machine Learning
    • Bokeh
    • Version Control using Git and Interactive Data Products

    Module 3: Data Analysis in SQL (Videos Only)

    Introduction to SQL
    • What is SQL?
    • Why SQL?
    • What are relational databases?
    • Examples of Deep Learning & AI
    • SQL command group
    • MS SQL Server installation
    • Exercises
    SQL Training
    • SQL Data Types & Operators
    • Useful Operations in SQL
    • Aggregating Data in SQL
    • Writing Sub-Queries in SQL
    • Common function in SQL
    • Analytic Functions in SQL
    • Writing DML Statements
    • Writing DDL Statements
    • Using Constraints in SQL
    • SQL Joins
    • Views in SQL

    Instructors

    Mr Lalit Sachan

    Mr Lalit Sachan
    Co Founder
    Edvancer Eduventures

    B.E /B.Tech, Other Masters

    Mr Utsab Chakraborty

    Mr Utsab Chakraborty
    Analytics Manager
    Flipkart Pvt. Ltd.

    B.E /B.Tech, Other Masters

    Mr Renold Devaraj

    Mr Renold Devaraj
    Data Scientist
    Dell

    B.E /B.Tech, MBA

    Mr Abhishek Nagarjuna

    Mr Abhishek Nagarjuna
    Data Scientist
    Freelancer

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