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Online Data Science and Analytics Bootcamp

The online data science and analytics bootcamp program is a uniquely designed training course that provides detailed knowledge of the data science field. The core topics like Machine Learning, Data Engineering, Programming Concepts, and many more help you join this dynamic tech-driven industry as a confident professional. The tool training provided via the live sessions will help you gain practical field knowledge.
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Bootcamp Programs in Data Science and Analytics Course Subjects/Syllabus

The syllabus of this course is highly technical and is updated with the recent developments in the field. The modules and topics you will learn in this training program are listed below.

Module 1: Mastering MS Excel and Concepts of Programming

  • Understanding Programming Basics
  • Discovering MS Excel
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Module 2: Discovering Data Analysis

  • Discovering SQL Basics and mastering Data Analysis
  • Understanding Python for DS - Installation, Building Blocks, Strings and Data Structures
  • Mastering Probability and Statistics - Hypothesis Testing, Regressions and ANOVA
  • Grasping Data Preprocessing - Numpy, Pandas, RegEx
  • Discerning Probability and Statistics - Descriptive Statistics, Distributions and Probability Theory
  • Discovering Data Preprocessing - Web Scraping and EDA
  • Grasping Python for DS - Functions, Modules, Files, Lambda functions, Errors and OOPs
  • Mastering NoSQL
  • Discerning Data Visualization with Tableau

Module 3: Understanding Machine Learning with Python

  • Grasping Machine Learning - Math for DS
  • Understanding Regularization Techniques - LASSO and RIDGE
  • Discovering Machine Learning - Linear Regression
  • Introduction to Classification and Logistic Regression
  • Discovering KNN, Naive Bayes, and SVM
  • Mastering Decision Tree, Random Forest and Boosting
  • Grasping Unsupervised Learning - Clustering and PCA

Module 4: Data Engineering

  • Grasping Big Data Processing with Hadoop
  • Mastering Streaming Big Data with Spark
  • Discovering Streaming Big Data with Spark
  • Mastering Machine Learning Model Deployment on Cloud

Module 5: NLP and Deep Learning

  • Discovering NLP - Feature Extraction, Texblob, Spacy, Text Classification
  • Discerning Deep Learning with Keras and Tensorflow - Keras, Tensorflow, and CNN
  • Grasping NLP - Sentiment Analysis and Chatbots
  • Mastering Deep Learning with Keras and TensorFlow, Adv CNNs, NLP, and GANs

Module 6: Data Structures and Algorithms

  • Basic Techniques of Algorithm Analysis
  • Linked Lists and Binary Trees
  • Analyze the Asymptotic Performance of Algorithms
  • Advanced-Data Structures
  • Algorithmic Design Paradigms and Methods of Analysis
  • Microservices Architecture and its Implications

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Let's clear up some doubts

No, there is no compulsion to have prior coding experience to join an online data science bootcamp course.

Even if you have a career gap, you can still enroll for the online data science bootcamp course after fulfilling the eligibility criteria of your chosen institution.

Yes, upon completion of the online data science bootcamp course, you receive a “Certificate of Completion” from your respective institution.

The duration of the online data science bootcamp course is 6 months but it may vary at different institutions.

To confirm your admission to the online data science bootcamp course, you can pay a booking amount or down payment (in case of an EMI facility). Later, you can pay the entire course fee based on your choice of fee payment mode.

At some institutions, a 100% job assistance facility is offered to the learners of an online data science bootcamp course. This way you get a chance to crack the interviews of top-rated firms and your employment chances get increased by 10 times.

Generally, it is not compulsory to attend all the live sessions delivered in the online data science bootcamp course. However, certain institutions require you to maintain 80% attendance in these online sessions.

On completion of an online data science bootcamp course, you can get hired at various profiles like Data Scientist, Business Analyst, Data Analyst, Big Data Engineer, Business Intelligence Developer, Statistician, etc., and earn around 12 LPA at a reputed organization.

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