6-Months Data Science Internship

Complete your internship at your own flexible timing, and receive your certificate within 24 hours of application. For more information about our premium and verifiable certificates, visit:

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6-Months Data Science Internship Program Syllabus

Week 1: Introduction to Data Science

• Welcome and Orientation
• Overview of Data Science and its importance
• Tools and software to be used during the internship
• Data Science Fundamentals: data types, structures, and statistical concepts
• Data collection methods

Week 2: Data Cleaning and Preprocessing

• Handling missing values
• Data transformation techniques
• Data normalization and standardization
• Introduction to Python for Data Science
• Basic Python programming concepts
• Libraries for Data Science: NumPy, Pandas

Week 3: Exploratory Data Science (EDA)

• Data visualization techniques
• Identifying patterns and insights
• Using Pandas and Matplotlib for EDA
• Introduction to SQL: Basic SQL queries and data manipulation

Week 4: Advanced Data Science

• Descriptive and inferential statistics
• Hypothesis testing
• Correlation and regression analysis
• Advanced data visualization tools: Seaborn, Plotly
• Creating interactive dashboards

Week 5: Machine Learning Basics

• Introduction to machine learning concepts
• Supervised vs. unsupervised learning
• Introduction to popular algorithms: Linear regression, decision trees, clustering
• Using Scikit-Learn for basic machine learning tasks

Week 6: Applied Machine Learning

• Data preparation for machine learning
• Model training and evaluation
• Cross-validation and hyperparameter tuning
• Real-world machine learning project

Week 7: Big Data and Cloud Computing

• Introduction to big data concepts
• Overview of Hadoop and Spark
• Using cloud platforms for Data Science: AWS, Google Cloud, Azure
• Hands-on exercises with cloud-based Data Science tools

Week 8: Final Project

3rd Month: Projects With codec technologies developers

4 to 5 Month: Project work and Placement Preparation

6 Month: Interview Preparation with codec technologies