Course Overview:
This comprehensive Data Science course at 360DigiTMG is designed to equip students with the necessary skills and knowledge to excel in the field of data science. It covers a variety of subjects, like programming, statistics, machine learning, data visualisation, and more. The curriculum is structured to provide both theoretical understanding and practical application, enabling students to tackle real-world data challenges.
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Curriculum Overview:
Introduction to Data Science:
- Understanding the role of data science in various industries
- Exploring the data science lifecycle
Python Programming:
- Introduction to Python programming language
- Data types, variables, and basic operations
- Control structures and loops
- Functions and libraries for data manipulation
Data Manipulation and Analysis:
- Introduction to data structures (lists, dictionaries, pandas DataFrames)
- Data cleaning and preprocessing techniques
- Exploratory data analysis (EDA) methods
Statistics and Probability:
- Descriptive and inferential statistics
- Probability distributions
- Hypothesis testing and confidence intervals
Machine Learning Fundamentals:
- Introduction to supervised, unsupervised, and reinforcement learning
- Feature engineering and selection
- Model evaluation and validation techniques
Machine Learning Algorithms:
- Linear and logistic regression
- Decision trees and random forests
- Support vector machines (SVM)
- Clustering algorithms (k-means, hierarchical clustering)
- Neural networks and deep learning basics
Data Visualization:
- Data visualisation principles and tools (Matplotlib, Seaborn)
- Creating meaningful visualisations
- Interpretation of visualised data
Big Data and Cloud Computing:
- Introduction to big data concepts
- Working with distributed computing frameworks (Hadoop, Spark)
- Cloud platforms for data storage and processing
Natural Language Processing (NLP) Basics:
- Text preprocessing and tokenization
- Sentiment analysis
- Introduction to NLP libraries (NLTK, spaCy)
Capstone Project:
- Applying acquired skills to a real-world data science project
- Data collection, preprocessing, analysis, modelling, and visualisation
- Presentation of findings and insights
Ethics and Privacy in Data Science:
- Understanding the ethical considerations in data collection and usage
- Privacy concerns and regulations
Career Development and Job Readiness:
- Building a strong data science portfolio
- Interview preparation and resume building
- Networking and job search strategies
Domain-specific Applications:
- Applying data science techniques to specific industries (e.g., healthcare, finance, e-commerce)
- Case studies and practical examples in different domains
Time Series Analysis:
- Understanding time-dependent data
- Time series forecasting techniques
- Seasonality and trend analysis
Advanced Machine Learning:
- Ensemble methods (bagging, boosting)
- Feature selection and dimensionality reduction
- Hyperparameter tuning
Deep Learning and Neural Networks:
- Deep neural networks architecture
- Convolutional neural networks (CNN) for image data
- Recurrent neural networks (RNN) for sequential data
Model Deployment and Productionisation:
- Exporting and deploying machine learning model
- Integration of models into applications
- Basics of containerization (Docker) and cloud deployment
Data Ethics and Bias:
- Understanding and mitigating biases in data and algorithms
- Ethical considerations in AI and machine learning applications
Industry Speaker Sessions:
- Guest lectures from industry professionals
- Real-world insights and challenges from the field
Final Assessment and Certification:
- Final project evaluation and presentation
- Awarding of course completion certificate
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Conclusion:
In conclusion, 360DigiTMG's thorough Data Science course in Bangalore is created to give students the skills and information they need to succeed in the fast-paced field of data science. A wide range of topics, including programming, statistics, machine learning, data visualisation, and more, are covered in this curriculum. It combines academic understanding with real-world application equips students with the skills they need to confidently handle difficulties involving real-world data.
For more information:
360DigiTMG - Data Analytics, Data Analyst Course Training in Bangalore
Address: #62/1, Ground Floor, 1st Cross, 2nd Main, Ganganagar 560032, Bangalore, Karnataka, 560032
Email: enquiry@360digitmg.com
Phone no:1800 212 654321
