2-Month Data Analytics 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:

https://codectechnologies.in/certificates

2-Month Data Analytics Internship Program

Week 1: Introduction to Data Analytics

• Welcome and Orientation
• Overview of data analytics and its importance
• Tools and software to be used during the internship
• Data Analytics 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 Analytics
• Basic Python programming concepts
• Libraries for data analytics: NumPy, Pandas

Week 3: Exploratory Data Analysis (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 Analysis

• 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 analytics: AWS, Google Cloud, Azure
• Hands-on exercises with cloud-based data analytics tools

Week 8: Final Project With codec technologies developers