Best Data Science Course In Delhi NCR
Enroll today for Offline/Online training for the Best Data Science Course In Delhi With the Most Trusted ICC Animation.
Best Data Analytics Institute Trusted by 10,000+ Students

Classroom Training
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Online Training
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Fastrack Training
Join Web Development Institute to enhance web design and development concepts in fastrack mode. Our fastrack training are based on latest learning approach. All courses available with us in fastrack give a complete knowledge of layout, typography, color, design principles etc.
1. Python for Data Science
Python Basics (Variables, Data Structures, Functions),
Libraries: NumPy, Pandas, Matplotlib, Seaborn,
Data Manipulation with Pandas, Data Visualization
with Matplotlib and Seaborn
3. Data Preprocessing
Handling Missing Data, Data Cleaning and Transformation,
Data Normalization and Standardization
Feature Engineering and Selection
6. Exploratory Data Analysis (EDA)
Descriptive Statistics (Mean, Median, Mode, Variance, etc.)
Data Visualization Techniques
Histograms, Boxplots, Scatter Plots
Identifying Patterns and Outliers in Data
Data Science full course


2. Probability and Statistics for Data Science
Probability Theory Basics, Random Variables and Distributions,
Hypothesis Testing (t-tests, Chi-square), Statistical Inference
4. Machine Learning
4. Machine Learning
Introduction to Machine Learning, Supervised Learning
(Linear Regression,
Logistic Regression) , Unsupervised Learning (K-Means Clustering, PCA)
Model Evaluation (Accuracy, Precision, Recall, F1-Score)
7. Advanced Machine Learning Algorithms
7. Advanced Machine Learning Algorithms
Decision Trees and Random Forests, Support Vector Machines (SVM)
K-Nearest Neighbors (KNN), Neural Networks and Deep
DATA SCIENCE COURSES

8. Model Deployment
Model Deployment ConceptsIntroduction to Cloud Platforms (AWS, Azure, GCP) Creating and Deploying Machine Learning ModelsVersion Control for Models (Git, Docker)

9. Big Data Technologies
Introduction to Big DataHadoop Ecosystem Spark and its ApplicationsData Storage Systems (SQL, NoSQL)

10. Data Science Ethics and Privacy
Ethical Issues in Data ScienceBias in Data and ModelsData Privacy Regulations (GDPR, CCPA)

11. Case Studies & Projects
Industry Use Cases of Data Science, Hands-on Projects (E.g., Predictive Analytics, Recommendation Systems)