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Data Science & Analytics Engineer

Experienced mentors with industry accreditation. Having mentored more than 200000 learners with various skills.

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Data Science & Analytics Engineer

About the Tutorial

This Coursework is designed to help you in understanding and implementing Application Development and deployment over Data Science & Analytics Engineer. It Includes theory and practical live sessions so that you can gain a hands-on exposure towards how Data Science & Analytics Engineer Works.

Who can take this course?

Everyone who is technology enthusiast or a cloud computing Professional. To streamline, this tutorial has been specially crafted for software developers who are keen on developing applications using the open and advanced platform of Data Science & Analytics Engineer

Prerequisites.

To learn Data Science & Analytics Engineer, you need to be familiar with the Windows Environment and have a basic knowledge on networking.

Key Highlights

  • Experienced mentors with industry accreditation. Having mentored more than 200000 learners with various skills across industries.
  • Experimental Learning with the ability to apply your learning on projects as it happens in the industry. Get project, Interview & Career ready.
  • Adaptive learning plans with classes available online or in-class. Sessions available on weekends as well to accommodate your work schedules.
  • Course completion certificate from Skill Sigma, an acknowledged learning services provider for over a decade with proven industry partnerships.

Course Includes

Introduction to Data Science

Data Science

Python Programming for Data Science

  • Introduction to Python
  • Datatypes, declarations and comments
  • Conditional Statements
  • Python Loops
  • Python Data Structures or Collections
  • Dictionaries
  • Python String handling and functions
  • Number functions
  • Date Functions
  • User defined functions in Python
  • File Handling in Python

Machine Learning for Data Science

    Machine Learning For Data Science & Analytics

    Machine learning vs. Statistical modelling

    Supervised vs. Unsupervised Learning

    • Supervised Learning
    • Classification Using Naïve Bayes
    • Classification using Decision Trees
    • Understanding Regression
    • Multiple Linear Regression
    • Unsupervised Learning Association Rules – Pattern detection
    • Neural Networks
    • Evaluating Model Performance
    • Improving Model Performance

Data Visualization with Tableau

    • Customizing a Data Source
    • Using Crosstabs: Highlight Tables
    • Working with a Data Extract
    • Dimensions
    • Using Sets to Highlight Data
    • Dashboards: Using Design
    • Techniques and Filter Actions
    • Telling Stories with Data

R Programming for Data Science & Analytics

    • Introduction to R
    • Data structures in R
    • R programming fundamentals
    • Working with data in R
    • Strings and Dates in R

Introduction to Statistics

    • Introduction
    • Basic Statistics
    • Useful statistics in Analytics & Data Science
    • Central Tendency
    • Normal Distribution
    • Hypothesis Testing

Artificial Intelligence for Everyone (AI)

    • What is AI Applications and Examples of AI Data
    • Machine learning what makes an AI organizations
    • Workflow of Machine learning project
    • Workflow of Data Science project
    • What machine learning can do and cannot do
    • The Future with AI, and AI in action
    • The Journey for adopting AI successfully
    • Career in AI
    • Technical Tools for AI team Pytorch,Keras,Scikit-learn,R or Weka
    • Machine learning opensource frameworks

Certification

After completing course you will get a course completion certificate

Why
Data Science & Analytics Engineer?

Earning a certification from a recognizes, respected source is an excellent way to validate your technical skill and build credibility both at work and in your filed.
Data Science & Analytics Engineer are universally recognized and trusted within the industry.

Higher Pay

Attaining Data Science & Analytics Engineer Certification pay of financially for IT professionals who can earn more than those without certifications.

Better Work

Attaining Data Science & Analytics Engineer Certification pay of financially for IT professionals who can earn more than those without certifications.

New Enhanced Skills

Attaining Data Science & Analytics Engineer Certification pay of financially for IT professionals who can earn more than those without certifications.

Market Differentiation

Attaining Data Science & Analytics Engineer Certification pay of financially for IT professionals who can earn more than those without certifications.

Want to know more about our training methodologies and projects?

We have covered over different Data Science & Analytics Engineer Services and Recognition in this webinar Series

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