Certified Data Science Developer®

CDSD Certified Data Science Developer®

The CDSD Certified Data Science Developer® program, offered by Global Tech Council, is a distinguished certification designed to equip you with the knowledge and practical skills necessary to excel in the field of data science. This program provides a comprehensive learning experience, combining theoretical concepts with real-world applications to prepare you for the challenges of extracting actionable insights from complex datasets. Recognized globally, this certification empowers you to stand out in a competitive industry, demonstrating your expertise in data analysis and decision-making. Join the ranks of certified professionals shaping the future of innovation through data-driven solutions.

$299

Play Video

Course Duration

18 Hours

Online

Exam

Self-paced

Access Mode

Lifetime

Certification Exam

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 Preprocessing

Why Data Preprocessing
Missing Values Treatment
Encoding
Feature Scaling
Outlier Treatment
Template for Data Preprocessing

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 required 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
Multiple 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 key learning of the course.

Certified Data Science Developer™ Exam

There will be an online training followed by a multiple choice exam of 100 marks.
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 3 times.
If you fail to acquire 60+ marks even after three attempts, then you need to contact us to get assistance for clearing the exam

Top Job Roles

Who Is a CDSD Certified Data Science Developer®?

A CDSD Certified Data Science Developer® refers to a professional recognized for their remarkable skills in data science. These individuals demonstrate advanced capabilities in applying various methods to interpret data, create predictive algorithms, and gain meaningful insights. They are considered creative thinkers behind impactful solutions, using their deep expertise to tackle difficult challenges and contribute to business growth across different sectors.

Who Can Apply for the CDSD Certified Data Science Developer® Certification?

This certification program suits those who are genuinely interested in working with data and its real-world applications. The ideal participants may include tech enthusiasts, programmers, analysts, and entrepreneurs in technology fields. This certification broadens understanding of essential data science topics, helping candidates stay ahead in today’s fast-evolving, data-focused environments. Participants can expect to improve their ability to create innovations and make smarter decisions based on data.

What Does a CDSD Certified Data Science Developer® Do?

CDSD Certified Data Science Developers® specialize in building and applying various techniques to uncover useful insights from complex datasets. They collaborate with teams from different fields, apply machine learning methods, and offer data-driven insights to solve everyday problems. These professionals are always seeking out new ways to apply data science, making significant contributions to advancements and helping industries evolve through their efforts.

Certification Benefits

Thorough Knowledge of Data Science: Offers detailed insights into analyzing data, applying machine learning, statistical methods, and key industry practices.
Recognition of Skills: The certification proves a professional’s abilities and knowledge, helping them stand out from others in the field.
Improved Job Prospects: Expands career possibilities in fields like data analysis, machine learning, business intelligence, and predictive analytics across various sectors.
Stay Updated on Data Science Trends: Helps learners remain informed about emerging tools, methods, and cutting-edge advancements in data science.

Success Stories

Alums