Data Science Individual Training Program (3 months internship with training)

Data Science Training Program Overview

The Data Science training program is designed to equip you with the essential knowledge and hands-on experience required to excel in the field of data analytics, machine learning, and data-driven decision-making. Whether you're a beginner or looking to advance your skills, this program will guide you from the basics to more advanced concepts, preparing you for real-world challenges.

Key Topics Covered:

1. Introduction to Data Science  

  Overview of data science and its applications, the role of a data scientist, and the data science lifecycle, including data collection, cleaning, analysis, and interpretation.

2. Python for Data Science  

  Python programming fundamentals, libraries for data science such as NumPy, Pandas, Matplotlib, and Seaborn, and data manipulation and visualization techniques.

3. Statistics and Probability  

  Descriptive and inferential statistics, probability theory, distributions, hypothesis testing, and confidence intervals.

4. Data Wrangling and Cleaning  

  Handling missing data, data preprocessing techniques, feature scaling, and selection.

5. Exploratory Data Analysis (EDA)  

  Identifying trends, patterns, and correlations, visualizing data using plots, charts, and graphs, and handling outliers and anomalies.

6. Machine Learning Algorithms  

  Supervised learning: regression and classification; unsupervised learning: clustering and dimensionality reduction; and model evaluation with performance metrics.

7. Deep Learning Basics  

  Introduction to neural networks, concepts of deep learning, frameworks like TensorFlow and Keras, and building and training simple neural network models.

8. Big Data Technologies  

  Introduction to Hadoop and Spark, working with large datasets, distributed computing, and data storage and retrieval techniques.

9. Data Visualization  

  Creating dashboards and reports, using tools like Tableau and Power BI, and telling stories with data for effective communication.

10. Capstone Projects  

  Real-world data science projects, applying machine learning models to business problems, and end-to-end project deployment.

Benefits of the Program:

- Hands-on learning with real-world datasets and projects.

- Career support, including job placement assistance and interview preparation.

- 1:1 mentor support throughout the learning process.

- Certification to showcase your skills to potential employers, Internship With training Offer letter & Completion Certificate .

- Enjoy the flexibility of Learning from home (online)

-Learn at your Free Time. Complete assigned tasks and submit them before the deadline

-No batches individual training you can start at your Comfortable dates

-Letter Of Recommendation On each project

This program is ideal for individuals looking to transition into data science roles, enhance their analytical skills, or explore the power of data in decision-making.