Certified Data Science Developer™

Certified Data Science Developer™ Certification training focuses on analyzing and testing the core concepts of data sciences, right from the elementary concepts such as statistics, data management and analytics to advanced topics like neural networks and machine learning and R programming. As certifications from Global Tech council are recognized and valued worldwide, Data Science Developer  Certification aids to your credibility for the various job roles in Data science domain.
As demand for data science developer soars, individuals can grasp this excellent opportunity to get certified in data sciences. Certified Data Science Developer™ certification aims to provide individuals with a competitive edge for superior employment opportunities.
ABOUT THE PROGRAM

Getting certified as a chatbot developer can prove to be beneficial for your career as the field is witnessing exponential growth for the past few years and is expected to grow as the demand for automation increases.

Certified Chatbot Developer™ focuses on the primary and core concepts of chatbots. This chatbot course will tell you all about chatbots – what they are, how to build them, how to integrate them with your website, and what all you can do with them. In addition to this, you’ll also get an idea of the type of chatbots required by the users.

Moreover, this course also gives you a brief overview of what AI is and how an AI-powered chatbot will help businesses automate routine and monotonous tasks.

MODULES INCLUDED
Basics of Python for Data Science

  • How to Install Python

  • History of Python

  • Python Variables

  • Loops in Python

  • Python collection Data Types

  • OOPS concepts

  • Exception Handling

  • Regular Expression

  • Python Numpy Arrays

  • Matrix and its operation

  • Functions in Python

  • User-Defined functions in Python

  • Scope in Python

  • Introduction to Methods

  • Packages in Python and PIP

  • Pandas and Data frames

  • Import and Export data from CSV

Data Visualization

  • Introduction to Matplotlib and Seaborn

  • Various charts and syntax

Introduction to Machine Learning

  • Introduction to Machine Learning

  • Types of Machine Learning

  • Basic Probability required for Machine Learning

  • Linear Algebra needed for Machine Learning

Supervised Learning - Regression

  • Simple Linear Regression

  • Simple Linear Regression Intuition

  • Simple Linear Regression – Business Problems

  • Multiple Linear Regression

  • Multiple Linear Regression Intuition

  • Numerous Linear Regression – Business Problems

  • Polynomial Regression

  • Polynomial Regression Intuition

  • Polynomial Regression Business problem

  • Implementation

  • Decision Tree

  • Decision Tree Intuition

  • Decision Tree Business problem

  • Implementation

  • Random Forest

  • Random Forest Intuition

  • Random Forest Business problem

  • Implementation

Supervised Learning - Classification

  • Logistic Regression

  • Decision Trees

  • Random Forests

  • SVM

  • Naïve Bayes

  • KNN

  • Confusion Matrix

Unsupervised Learning - Clustering

  • Types of K-Means

  • K-Means Clustering

  • Hierarchal Clustering

Dimensionality Reduction

  • Principal Component Analysis

  • Linear Discriminant Analysis

Recommendation Engine

  • Need for recommendation engines

  • Types of Recommendation Engines

  • Content-Based

  • Collaborative Filtering

Association Rules

  • Apriori Algorithm

  • Market Basket Analysis

Time Series

  • Understanding Time Series Data

  • ARIMA analysis

Statistics

  • Statistics – Descriptive Statistics

  • Statistics – Inferential Statistics Fundamentals

  • Statistics – Hypothesis Testing

Summary

  • Summary of the critical learning of the course.


Certified Data Science Developer™ Exam

  • A multiple-choice exam of 100 marks will follow online training.

  • You need to acquire 60+ marks to clear the exam.

  • If you fail, you can retake the exam after one day.

  • You can take the exam no more than three times.

  • If you fail to acquire 60+ marks even after three attempts, you need to contact us to get assistance for clearing the exam.

 

RECOMMENDED LEARNING METHODOLOGY

  • Recommend allocating 1 hour daily to complete the course in 18 days.

  • Though you can attempt the online exam anytime as per your convenience, we highly recommend attempting the exam within 18 days of course completion, as the subject will be fresh in your mind, and you get sufficient time to prepare/revise as well.


CERTIFICATION BENEFITS

  • It opens the world to excellent career opportunities in the data sciences domain

  • Certification in data sciences ramps up your career growth

  • Get highly paid with a data science expert certification

WHAT DO YOU GET?

  • Global Tech Council Certification

  • Career guidance in the Data Science domain

  • Peer-to-Peer networking opportunity

  • 1 to 1 counseling with our career experts

CAREER FACTS

   TOP JOB FUNCTIONS

  • Business Development

  • Engineering

  • Information Technology

  • Operations

  • Sales

What does a Data Science Developer do?

Data Science Developer works closely with data; the certified individual knows how to extract and interpret data.

 

The Growth Curve Ahead

On completion of this certification, you will have multiple opportunities for your professional career in the field of data science. You can be:

  • Business Analyst

  • Business Intelligence Analyst

  • Data Scientist

 

What are the domains where Data Science Developers work?

  • Data Analyst

  • Data Engineer

  • Data Architect

  • Data Storyteller

 

Final Outcome

After completing this certification, you will master the core concepts of Data Science.

Bundle includes

Here are all the courses that are included in your bundle.