Module 1: Introduction to Data Science
- Overview of data science and its applications
- Introduction to Python and R programming languages
- Setting up development environments (Jupyter Notebook, RStudio)
Module 2: Data Manipulation and Visualization
- Data cleaning and preprocessing techniques
- Exploratory data analysis (EDA) using Pandas and NumPy
- Data visualization with Matplotlib, Seaborn, and Plotly
Module 3: Statistical Analysis
- Descriptive and inferential statistics
- Hypothesis testing and statistical significance
- Correlation and regression analysis
Module 4: Machine Learning Fundamentals
- Introduction to machine learning concepts
- Supervised vs. unsupervised learning
- Model evaluation and performance metrics
Module 5: Machine Learning Algorithms
- Linear and logistic regression
- Decision trees and random forests
- Support Vector Machines (SVM)
- Clustering algorithms: K-Means, Hierarchical clustering
Module 6: Natural Language Processing (NLP)
- Text preprocessing and tokenization
- Sentiment analysis and text classification
- Word embeddings and topic modeling
Module 7: Deep Learning and Neural Networks
- Introduction to neural networks
- Building and training deep learning models with TensorFlow and Keras
- Convolutional Neural Networks (CNNs) and their applications
Module 8: Big Data and Spark
- Introduction to Big Data and Spark framework
- Working with RDDs and DataFrames in PySpark
- Distributed computing and Spark MLlib for machine learning
Module 9: Data Engineering and Pipeline
- Data pipeline architecture and design
- Extract, Transform, Load (ETL) processes
- Building data pipelines using Apache Airflow
Module 10: Capstone Project
- Apply all learned concepts and techniques to a real-world data science project
- Design, develop, and present a comprehensive data analysis solution
- Hands-on experience with end-to-end project lifecycle, from data acquisition to model deployment
Module 11: Career Development and Job Readiness
- Resume building and LinkedIn profile optimization
- Interview preparation and mock interviews
- Networking opportunities and job placement assistance
This comprehensive syllabus ensures that participants gain practical skills and experience in data science, preparing them for successful careers in analytics, machine learning, and artificial intelligence.
Note: **The topics said above are only the short blueprint of the syllabus. On the off chance that you feel that we have missed any subject, you can simply come to us and learn it, or simply call us to affirm
Call at 8010911256 | 8485846227 WebAsha Provides Best Online [Live Interactive Class] / Calssroom with practical based hands-on Data Science Training and Certification in Pune and near by area. Get Course Details, Certification Cost, Fees, Syllabus, Duration, Batch Timings, Exam Preparation, workshops in Pune, Mumbai, Delhi NCR, Noida, Gurugram (Gurgaon), Hyderabad, Bengaluru (Bangalore), India, UK, USA, UAE, Dubai, Singapore, and Australia