Data Science
Data Science
Data Science is the most in-demand field that combines statistics, programming, and business knowledge to extract insights from data. This course provides comprehensive training in Python, data analysis, machine learning, and visualization, preparing learners for careers in data-driven industries.
Duration: Flexible
Fees: Contact us for details
Syllabus Highlights
- Introduction to Data Science & Analytics Lifecycle
- Python for Data Science (NumPy, Pandas, Matplotlib, Seaborn)
- Statistics & Probability for Data Science
- Data Preprocessing & Cleaning
- Exploratory Data Analysis (EDA)
- Data Visualization & Storytelling
- Databases & SQL for Data Science
- Machine Learning Algorithms (Supervised & Unsupervised)
- Feature Engineering & Model Evaluation
- Deep Learning & Neural Networks (Intro)
- Natural Language Processing (NLP) Basics
- Big Data & Cloud Tools (Overview: Hadoop, Spark)
- Business Applications of Data Science (Finance, Healthcare, Retail, etc.)
Projects
- Sales & Revenue Forecasting
- Customer Churn Prediction
- Social Media Sentiment Analysis
- Fraud Detection Model
- E-Commerce Recommendation System (Big Project)
Outcomes
- Strong foundation in Python, statistics & ML for data science
- Ability to clean, process & analyze real-world datasets
- Hands-on experience in predictive modeling & visualization
- Readiness for roles like Data Analyst, Data Scientist, and Business Analyst
Syllabus Highlights:
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