Advanced Data Science Certification Course with Live Projects, Internship & Job Assistance
Build expert-level data science skills in Python, Machine Learning, SQL, and AI tools. This 12-week course offers real-time projects, internship experience, and preparation for careers in analytics, ML, and AI development.
To Whom This Course is For
– Final-year any Graduate students
– Professionals shifting to data-driven roles
– Beginners aiming for careers as Data Analysts, Data Scientists, or ML Engineers
– Job seekers preparing for technical interviews and certification exams
Course Objectives & Learning Outcomes
– Analyze and visualize data using Python libraries like Pandas, Matplotlib, and Seaborn
– Apply Machine Learning models for classification, regression, and clustering
– Perform feature engineering, model optimization, and evaluation
– Understand statistics, hypothesis testing, and data wrangling techniques
– Handle real datasets for end-to-end problem-solving using Jupyter Notebooks
– Build predictive models and storytelling dashboards with industry datasets
Skills You Will Learn
– Python Programming & Data Wrangling
– Machine Learning (Scikit-learn, TensorFlow basics)
– SQL for Data Analysis
– Statistics & Probability
– Data Visualization with Power BI / Tableau
– Exploratory Data Analysis (EDA) & Feature Engineering
– GitHub Portfolio Creation
Course Modules / Syllabus Overview
- Data Science & AI Landscape
- Python for Data Science – Numpy, Pandas, Matplotlib
- Data Preprocessing, Cleaning, and Transformation
- Exploratory Data Analysis & Hypothesis Testing
- SQL for Data Manipulation & Joins
- Machine Learning Algorithms (Supervised & Unsupervised)
- Model Evaluation, Tuning & Cross Validation
- Capstone Project: Real Business Problem Using ML Workflow
Duration & Mode
– Course Length: 12 Weeks
– Mode: Online (Live + Recorded)
– Schedule Options: Weekday, Weekend
Tools & Software Covered
– Python (Jupyter Notebook)
– SQL (MySQL/PostgreSQL)
– Scikit-learn, Matplotlib, Seaborn
– Tableau / Power BI
– Git, GitHub
– Google Colab, VS Code
Internship or Capstone Project
– 4-week internship with real datasets from e-commerce, finance, or healthcare domains
– Internship completion certificate
Certifications Offered
– Course Completion Certificate
– Internship Experience Certificate
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