Certified Data Science Professional

16,661.00

Master all the required skills for a successful career in data science.

  • Get certified for your knowledge
  • Work on projects and get experience certificate
  • 100% job assistance, mock interviews and pitch to interviews

Description

Data science is one of the highest-growing fields in this century. It has a big potential to build solutions across the industry; hence, the demand for skilled professionals in this field is also increasing exponentially. This certification-oriented course presents a complete coverage of all the required data science skills with their key concepts. Along with understanding these concepts, this course also presents their practical implementation through real-world use cases.

 

Program Outcome

  • Complete knowledge of all the required skills for a career in data science
  • Hands-on exposure to all the important data science skills
  • Sound exposure to statistics, machine learning, computer vision, and NLP

Prerequisite

  • Basic knowledge of mathematics
  • Intermediate-level knowledge of python programming
  • Understanding of data structures

Complete Data Science: Course Contents

  • Statistics
    1. Data and its properties
    2. Basic Statistics
    3. Univariate analysis
    4. Bivariate analysis
    5. Statistical tests
      1. Hypothesis test
      2. t-Test
      3. Chi-Square test
      4. ANOVA
  • Machine Learning
    1. Regression analysis
      1. Introduction to regression analysis
      2. Different regression analysis techniques
    2. Classification
      1. Introduction to classification
      2. Different classification techniques
    3. Clustering
      1. Introduction to clustering
      2. Different clustering techniques
  • Recommender Systems
    1. Overview
    2. Content-based filtering
    3. Collaborative filtering
  • Association Rule Learning
    1. Apriori
    2. Eclat
    3. FP-Growth
  • Time Series Analysis
    1. Moving Average
    2. ARIMA
    3. SARIMA
  • Deep Learning
    1. Gradient Descent and Optimization
    2. Introduction to Neural Networks
    3. Convolutional Neural Network
    4. Recurrent Neural Networks
    5. Encoder-Decoder Models
    6. LSTM Model
    7. Generative Adversarial Network (GAN)
  • Computer Vision
    1. Image Processing
    2. Image Classification
    3. Object Detection
  • Natural Language Processing
    1. Text Analysis
    2. Text Classification
    3. Sentiment Analysis
    4. Word2Vec Models
    5. Sequence Modelling
  • Capstone Project

    A complete project that covers the skills earned during the course with guidance from industry mentors and support from learner success managers throughout.

FAQs

  • Who can attend this course?

    This course is suitable for beginners as well as professionals working in different domains.

  • What is the mode of delivery?

    This course has different modes of delivery. It can be taken in person from a center over the weeks, or it can be taken online as well based on your own convenience.

  • Will there be an instructor also in this course?

    Yes, an instructor will be there for in-person delivery and online (instructor-led) delivery.

  • What are the prerequisites to attend this course?

    Basic understanding of mathematics, python, and data structure is required to attend this course.

  • How difficult is this course to learn?

    The course has intermediate-level difficulty.

  • What job roles can i take if i attend this course?

    Data scientist, machine learning engineer, AI engineer, data analyst, computer vision engineer, NLP engineer, etc. roles can be explored after taking this course.

  • Who can get the certificate?

    All attendees who complete all sections of the course along with the capstone project will get the certificate.

  • How the completeness of each section is measured in the course?

    There are MCQ-based short tests given after each section to assess the understanding of a learner in each section. Finally, the capstone project is evaluated manually by the instructors.

Certificate Template

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