Data Science

Our Data Science curriculum is designed for beginners and progressing to intermediate level. It covers essential data science concepts, tools, and techniques, focusing on both theoretical knowledge and practical applications.

Highlights

Introduction to Data Science

Data Visualization and Storytelling

Introduction to Time Series Analysis

Data Science Tools and Best Practices

Courses

We Believe in

The Power of Determination

Collapsible text is perfect for longer content like paragraphs and descriptions. It's a great way to give people more information while keeping your layout clean. Link your text to anything, including an external website or a different page. You can set your text box to expand and collapse when people click, so they can read more or less info.

About Us

Naviotech prides itself on providing very high quality, detailed course structures which will help you achieve your goals with utmost clarity.

Learn More

Course Details

1) Overview of Data Science

2) Python for Data Science
1) Data Collection and Importing Data

2) Data Cleaning Techniques

3) Exploratory Data Analysis (EDA)

4) Project 1: Data Cleaning and EDA
1) Data Visualization Basics

2) Visualization Libraries

3) Advanced Data Visualization

4) Project 2: Data Visualization
1) Introduction to Statistics

2) Probability Basics

3) Hypothesis Testing

4) Project 3: Statistical Analysis
1) Introduction to Machine Learning

2) Supervised Learning Basics

3) Unsupervised Learning Basics

4) Project 4: Predictive Modeling
1) Advanced Supervised Learning Models

2) Model Evaluation and Tuning

3) Project 5: Advanced Predictive Modeling
1) Time Series Basics

2) Forecasting Techniques

3) Project 6: Time Series Forecasting
1) Text Data Preprocessing

2) Simple NLP Models

3) Project 7: Text Classification
1) Version Control with Git

2) Data Science Pipeline Automation

3) Model Deployment Basics

4) Project 8: End-to-End Data Science Project