Course Overview
Our Data Science course equips you with the skills to extract meaningful insights from complex datasets. Learn to work with big data, build predictive models, and communicate data-driven insights to stakeholders. This comprehensive program covers the entire data science pipeline from data collection to deployment.
What You'll Learn
Module 1: Introduction to Data Science
- Data Science fundamentals and applications
- Understanding the data science process
- Industry use cases and career opportunities
- Setting up your data science environment
Module 2: Python Programming
- Python basics for data science
- Data structures and control flow
- Functions, modules, and packages
- Error handling and debugging
Module 3: Data Manipulation with Pandas
- DataFrames and Series operations
- Data cleaning and preprocessing
- Merging, joining, and reshaping data
- Handling missing data and outliers
Module 4: Data Visualization
- Matplotlib for basic plotting
- Seaborn for statistical visualization
- Interactive plots with Plotly
- Creating dashboards with Tableau
Module 5: Statistics for Data Science
- Descriptive statistics
- Probability distributions
- Hypothesis testing
- Correlation and regression analysis
Module 6: Machine Learning Fundamentals
- Supervised vs Unsupervised learning
- Linear and Logistic Regression
- Decision Trees and Random Forests
- Model evaluation and validation
Module 7: Advanced Machine Learning
- Support Vector Machines
- K-Means and Hierarchical Clustering
- Principal Component Analysis
- Ensemble methods
Module 8: Big Data Technologies
- Introduction to Hadoop and Spark
- Working with large datasets
- Distributed computing concepts
- SQL for big data
Module 9: Deep Learning
- Neural Networks basics
- TensorFlow and Keras
- Convolutional Neural Networks
- Real-world applications
Module 10: Data Science Projects
- End-to-end data science projects
- Real-world case studies
- Portfolio development
- Industry best practices
Course Features
Duration
5 months (Part-time) / 3 months (Full-time)
Class Size
Maximum 20 students per batch
Certification
Certified Data Scientist credential
Mode
Hybrid learning with hands-on labs
Want To Work With Us
Thanks for showing an interest. We need some basic information from you to serve you better.
© 2017 Logical Loopholes. All rights reserved