Data Scientist Certification Program (PDSC)

57% Avg Salary Hike:

Earning a data science certification can significantly boost your earnings. Certified professionals experience an average 57% increase in salary due to their specialized knowledge in handling and interpreting complex data, making them valuable assets for companies across various industries.

Job Opportunities:

The demand for Data Scientists is growing at an unprecedented rate. According to the U.S. Bureau of Labor Statistics, data science jobs are expected to increase by 28% through 2026, adding over 11.5 million new positions. This rise is driven by the growing reliance on data for strategic business decisions and AI-driven insights.

Future Growth in Data Science:

With enterprises increasingly adopting AI, data science is expected to see a 5x growth in infrastructure and operationalization of AI solutions. This surge will propel analytics and data science roles to the forefront of business transformation.

₹25 LPA to ₹40 LPA:

Professionals with a data science certification and over 5 years of experience can command competitive salaries ranging from ₹25 LPA to ₹40 LPA in India, while in the U.S., experienced data scientists can earn between $120,000 and $160,000. This reflects their proficiency in advanced analytics, machine learning, and data management.

57% Avg Salary Hike:

Job Opportunities:

Future Growth in Data Science:

₹25 LPA to ₹40 LPA:

Develop your proficiency in:

Data Analysis: Learn the critical techniques and tools needed for data exploration, manipulation, and visualization.
Machine Learning Expertise: Build robust predictive models using cutting-edge machine learning algorithms.
Big Data Skills: Gain hands-on experience with big data tools like Apache Spark and Hadoop, equipping you for large-scale data analysis.

$100,910: The average salary of a Data Scientist in the United States.
113,300: The number of job postings in Data Science across the USA.
36% Growth by 2031: The field is experiencing rapid expansion, with an anticipated 36% growth from 2021 to 2031, significantly outpacing other sectors.

Data Scientist
Decision Scientist
StatisticianThe U.S. Bureau of Labor Statistics anticipates a 19% growth in data scientist positions over the next two decades, reflecting the increasing demand for expertise in data-driven decision-making.

Data Types and Structures
Data Collection, Cleaning, and Preprocessing
Exploratory Data Analysis (EDA) Techniques

Descriptive Statistics and Probability Distributions
Hypothesis Testing and Inferential Statistics
Analysis of Variance (ANOVA) and Chi-Square Tests

Classification Models: Decision Trees, Random Forest, SVM
Regression Models: Linear, Logistic, Ridge, and Lasso
Clustering Techniques and Association Rules
Feature Selection and Dimensionality Reduction

Visualization Tools: Matplotlib, Seaborn, Plotly
Dashboard Development with Power BI
Effective Storytelling with Data for Business Communication

Handling Large Datasets with Apache Hadoop and Spark
Working with NoSQL Databases (MongoDB, Cassandra)
Scalable Machine Learning on Distributed Systems

Case Studies in Healthcare, Finance, and E-commerce
End-to-End Data Science Project with Real-World Business Problem

Choose a Domain-Specific Dataset (Healthcare, Finance, Marketing)
Conduct an End-to-End Data Analysis and Visualization
Provide Business Insights and Recommendations

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It really helped me for my project.

Student, MIT ADT University

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Nicely planned with relevant topics and experts.Nicely organized

Academicians, Mumbai Veterinary College

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Joined for the further training program, Excellent and Helpful, thanks.

Professor, Shri Shivaji Education Society Amravati’s College of Engineering & Technology

Data Scientist Certification Program (PDSC)

Course Overview

Program Syllabus

Why Choose the Data Scientist Certification Program?

Propel Your Career in Data Science

Lead Instructor

Dr. Sarah Chen

Data Scientist Certification Program (PDSC)

Elevate Your Career in Data Science

Qualify for In-Demand Roles

Foundations of Data Science

Data Types and Structures

Data Collection, Cleaning, and Preprocessing

Exploratory Data Analysis (EDA) Techniques

Statistical Analysis and Inference

Descriptive Statistics and Probability Distributions

Hypothesis Testing and Inferential Statistics

Analysis of Variance (ANOVA) and Chi-Square Tests

Data Mining and Machine Learning Techniques

Classification Models: Decision Trees, Random Forest, SVM

Regression Models: Linear, Logistic, Ridge, and Lasso

Clustering Techniques and Association Rules

Feature Selection and Dimensionality Reduction

Data Visualization and Storytelling

Visualization Tools: Matplotlib, Seaborn, Plotly

Dashboard Development with Power BI

Effective Storytelling with Data for Business Communication

Big Data Analytics

Handling Large Datasets with Apache Hadoop and Spark

Working with NoSQL Databases (MongoDB, Cassandra)

Scalable Machine Learning on Distributed Systems

Applied Data Science in Business

Case Studies in Healthcare, Finance, and E-commerce

End-to-End Data Science Project with Real-World Business Problem

Capstone Project

Choose a Domain-Specific Dataset (Healthcare, Finance, Marketing)

Conduct an End-to-End Data Analysis and Visualization

Provide Business Insights and Recommendations

They Say

Shreenidhee Nilesh Teli

Dr Gopal Pundlikrao Bharkad

Dr. Dharmendra Chandraprakash Kothari

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