Master Data-Driven Decision Making - Learn Data Science step by step through real Analytics examples, Data Mining, Modeling, Tableau Visualization, live industry projects, and more!
The Data Science Certification is a comprehensive, industry-aligned program designed to equip professionals with the knowledge, tools, and hands-on experience to extract actionable insights from complex data.
Covering the full data science lifecycle — from data wrangling and visualization to machine learning and predictive modeling — this course empowers learners to solve real-world problems and drive business outcomes using data.
Whether you're a beginner or a working professional looking to transition into the world of data, this program offers the skills and certification to thrive in one of today’s most in-demand fields.
What You Will Learn
- Foundations of Data Science & Python Programming
- Data Analysis, Cleaning, and Manipulation using Pandas & NumPy
- Data Visualization with Matplotlib, Seaborn, and Power BI
- Exploratory Data Analysis and Statistical Inference
- Machine Learning Algorithms (Supervised & Unsupervised)
- Predictive Modeling and Model Evaluation
- Working with Real-World Datasets and Projects
- Introduction to AI, Deep Learning, and Natural Language Processing (NLP)
Get certified. Get hired. Become a data-driven decision maker with ISEL Global’s Certified Data Scientist Professional Certification Program.
Module 1: Data Analysis with Python
- Data Science Fundamentals
- Data Operation with Numpy
- Data Manipulation with Pandas
Module 2: Data Visualization Techniques
- Introduction to Data Visualization
- Data Visualization using Matplotlib
- Hands-on Pandas for Rapid Visualization
- Seaborn for Data Visualization
Module 3: EDA & Data Storytelling
- Introduction to Exploratory Data Analysis
- EDA Framework Deep Dive
- Scientific Exploration of Industry Data (Case Study)
- Student Presentations & Insight Delivery
Module 4: Mini Capstone Project
- Introduction to Machine Learning
- Linear Regression
- Logistic Regression
- Model Evaluation Techniques
Module 6: Machine Learning Intermediate
- Decision Trees
- Random Forests
- Dimentionality Reduction using PCA
- Naive Bayes Classifier
Module 7: Machine Learning Advanced
- KNN (K-Nearest neighbors)
- K-means Clustering
- Ensemble Learning
- Optimization
Module 8: Data Visualization with Tableau
- Introduction to Data Visualization with Tableau
- Exploring Tableau Interface
- Tableau Calculations & Dashboard
- Mapping using Tableau & Tableau Analytics
Module 9: Data Analytics with R
- Introduction to Programming in R
- Data Manipulation with dplyr
- Data Visualization using ggplot & esquisse
- Exploratory Data Analytics I & II
Module 10: GCD Capstone Project
Product rating prediction for Amazon
Help Amazon, a US-based e-commerce company, improve its recommendation engine by predicting ratings for the non-rated products and adding them to recommendations accordingly.
Demand Forecasting for Walmart 
Predict accurate sales for 45 Walmart stores, considering the impact of promotional markdown events. Check if macroeconomic factors have an impact on sales.
Improving customer experience for Comcast 
Provide Comcast, a US-based global telecom company, key recommendations to improve customer experience by identifying and improving problem areas that lower customer satisfaction.
Attrition Analysis for IBM 
IBM, a leading US-based IT company, wants to identify the factors that influence employee attrition by building a logistic regression model that can help predict employee churn.
NYC 311 Service Request Analysis 
Perform a service request data analysis of New York City 3-1-1 calls. Focus on data wrangling techniques to understand patterns in the data and visualize the major complaint types.
MovieLens Dataset Analysis 
A research team is working on information filtering, collaborative filtering, and recommender systems. Perform analysis using the Exploratory Data Analysis technique for user datasets.
Benefits of the Data Science Certification Program
1. High-Demand Career Opportunities
- Data Science is one of the most sought-after fields globally. Certified professionals are in high demand across industries such as IT, finance, healthcare, e-commerce, consulting, and manufacturing.
- According to LinkedIn, Data Science is among the top 10 fastest-growing job roles worldwide.
2. Lucrative Salary Packages
- Certified Data Scientists enjoy some of the highest salaries in the tech industry. A globally recognized credential boosts your market value and opens the door to mid-to-senior-level positions.
- Average Salary in India: ?8–20 LPA
- Average Salary in USA: $100,000–$140,000 per year
3. Hands-On, Practical Skill Development
- The program focuses on real-world projects, not just theory. You'll build practical expertise in:
- Data analysis and visualization
- Machine learning models
- Python programming
- Predictive analytics
- Statistical decision-making
4. Applicable Across Industries
- Data Science is a cross-functional skill used in:
- Banking & Finance (fraud detection, credit scoring)
- Healthcare (predictive diagnosis, patient data modeling)
- Retail (demand forecasting, customer segmentation)
- Manufacturing (process optimization, predictive maintenance)
5. Career Transition and Growth
- Whether you're from IT, engineering, business, or marketing, this certification helps you transition into data-focused roles or move up within your current organization.
6. Globally Recognized Certification
- Receive an industry-endorsed certificate that validates your expertise and enhances your resume for employers worldwide.
7. Expert Mentorship and Support
- Learn from industry professionals and data science practitioners who bring real-time experience to the classroom. Get post-course mentorship, interview support, and career guidance.
8. Foundation for Advanced Learning
- It serves as a launchpad for advanced programs like Artificial Intelligence, Deep Learning, and Big Data Analytics.
9. Flexible Learning Options
- Choose from self-paced, live online, or blended formats to fit your schedule without compromising quality.
10. Data-Driven Thinking
- Beyond tools and coding, the program teaches a data mindset — enabling better decisions, smarter strategies, and business transformation.
On successful completion of the course and course requisites, the candidate will receive an internationally recognized and Lifetime Validity Certified Data Scientist Professional Certification.
CDSP Certification Accredited by Global Accreditation Certification Board, American Board & UKAC United Kingdom.
This course offers the Certification Validation Tool for Employers
Your Certified Data Scientist Professional Certification Validation Tool can be used by employers, clients, and other stakeholders to validate the authenticity of the Certifications you have received. Using the programming code located on your certification, one can see all your training and certification details online.
.jpg)
.webp)
