Data Science Course

Data Science Certification Training

Data Science Beginner to Advanced

Become a Data Science expert with this comprehensive program covering Python, Statistics, Machine Learning, Deep Learning, Big Data, and advanced analytics. Gain hands-on experience with real-world projects, visualization tools, and deployment techniques to excel in the field of data-driven decision-making.

  • Python Programming & Data Handling
  • Statistics, Mathematics, and EDA
  • Machine Learning & Deep Learning
  • NLP, Computer Vision, and AI Projects
  • Big Data with Hadoop & Spark
  • Visualization using Tableau & PowerBI
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Data Science - Course Modules

  • Python Basics: Keywords, Variables, Control Flow
  • Data Structures: Lists, Tuples, Sets, Dictionary
  • Functions, Lambda, Exception Handling
  • OOP Concepts: Classes, Inheritance, Polymorphism
  • Flask Fundamentals & REST API Development
  • Data Handling with Numpy & Pandas
  • Visualization with Matplotlib & Seaborn
  • SQL & MongoDB Operations
  • EDA: Analyzing Bike Sharing, Movies, Wine Quality

  • Linear Algebra: Matrices, Projections, Eigenvalues
  • Probability Theory & Random Variables
  • Calculus: Derivatives, Chain Rule, Optimization
  • Statistics: Mean, Median, Variance, SD
  • Probability Distributions: PDF, PMF, CDF
  • Hypothesis Testing & Inference

  • Supervised Learning: Linear & Logistic Regression, SVM, Naive Bayes
  • Unsupervised Learning: PCA, K-Means, Hierarchical Clustering
  • Ensemble Techniques: Decision Trees, XGBoost, Gradient Boosting
  • Time Series Forecasting with fbprophet, AutoTS
  • Feature Engineering & Model Evaluation
  • End-to-End ML Projects with Deployment

  • ANN, Backpropagation, Activation Functions
  • CNN for Image Processing: LeNet, AlexNet, ResNet
  • Transfer Learning & Object Detection
  • NLP with RNN, LSTM, Transformers (BERT, GPT)
  • Deep Learning Frameworks: TensorFlow, PyTorch
  • Projects: Text Summarization, Audio Classification, Helmet Detection

  • Big Data Concepts
  • Hadoop & Spark Basics
  • Data Visualization with Tableau
  • Data Analytics with Power BI

  • Resume Building & Mock Interviews
  • Python, Statistics & ML Interview Questions
  • Explaining Projects Effectively
  • Capstone Projects in ML, DL, and AI

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