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Welcome to Vervegen Edtech Pvt Ltd, where the journey to becoming a data scientist begins amidst the serene landscapes of Dehradun. Our Data Science Course is designed to equip you with the skills and knowledge needed to thrive in the world of data analytics and machine learning.
Visit Us:- https://vervegenedtech.com/technologies/sdt/Data-science-course-in-dehradun
Course Overview:
Title: Data Science Course In Dehradun
Duration: 6 Months
Location: Dehradun, Uttarakhand
Mode: In-Person Learning
Course Content:
1. Introduction to Data Science
- Understanding the role of data science in today’s world
- Overview of data science lifecycle and its applications
2. Python for Data Science
- Introduction to Python programming language
- Data types, variables, and operators
- Control flow and loops
- Data structures: lists, tuples, dictionaries
- Functions and modules in Python
3. Data Wrangling and Preprocessing
- Data cleaning techniques
- Handling missing data and outliers
- Data transformation and normalization
4. Exploratory Data Analysis (EDA)
- Data visualization using libraries like Matplotlib and Seaborn
- Descriptive statistics and data summarization
- Correlation analysis and feature engineering
5. Machine Learning Fundamentals
- Introduction to machine learning concepts
- Supervised vs. unsupervised learning
- Model evaluation and performance metrics
6. Regression and Classification
- Linear and logistic regression
- Decision trees and random forests
- Support Vector Machines (SVM)
7. Clustering Techniques
- K-means clustering
- Hierarchical clustering
- Density-based clustering (DBSCAN)
8. Natural Language Processing (NLP)
- Text preprocessing
- Sentiment analysis
- Text classification
9. Deep Learning Basics
- Introduction to neural networks
- Deep learning frameworks (TensorFlow, Keras)
- Building and training neural networks
10. Big Data Analytics
- Introduction to Hadoop and Spark
- Working with distributed data
- Introduction to Spark MLlib
11. Capstone Project
- Apply learned skills and knowledge to solve a real-world data science problem
- Develop a complete data science project from data collection to model deployment
