Data Science
Complete Data Science Internship: Math, Statistics, Python, Advanced Statistics in Python, Machine learning and Algorithm
Instructor Name - ---
About this Course
Led by an experienced curriculum director and technologist, this course provides hands-on, skills-based learning in Datascience. Designed to offer a comprehensive approach, it covers essential principles and advanced concepts, equipping learners with practical skills to navigate the field effectively. Each module focuses on real-world applications, enabling learners to build expertise in key Datascience practices.
Skills you'll gain
Data Science Programming Language DevelopmentSyllabus
- Introduction to Datascience and Ethical Hacking
- Course Setup, Daily Live Classes, Recorded Lectures
- Certified Ethical Hacker Certification and Live Support
- Approaching the Course: Strategies and Course Exercises
- What is Data Science?
- The Data Science Process
- Overview of Applications: AI, ML, Big Data, etc.
- Mean, Median, Mode
- Standard Deviation and Variance
- Basic Probability Concepts
- Conditional Probability
- Bayes’ Theorem
- Binomial and Poisson Distributions
- Data Collection and Acquisition
- Data Cleaning: Handling Missing Values, Outliers, and Duplicates
- Data Visualization Techniques (Matplotlib, Seaborn, Plotly)
- Database Essentials (SQL)
- Data Storage and Retrieval
- Introduction to Big Data (Hadoop, Spark Basics)
- Data Pipelines (ETL Process)
- APIs and Web Scraping Basics
- Supervised Learning
- Unsupervised Learning
- Model Evaluation and Selection
- Ensemble Methods: Bagging, Boosting (e.g., XGBoost, AdaBoost)
- Time Series Analysis and Forecasting
- Deep Learning Overview (Neural Networks, CNN, RNN)
About the Instructor
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Developer
4.87 Instructor rating
1,533 reviews
50 Students
29 courses
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Data Science
Rs 5999 1599
Duration
45 Hrs+
Live Lectures
6 Weeks
Seats
50 students
Language
English
Skill Level
Beginner
Internship Certificate
Yes
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