About Course
Welcome to "Mastering Data Analytics" a comprehensive, hands-on journey designed to elevate your data skills, whether you're starting from scratch, switching careers, or aiming for a promotion. This course, offered by Ustadam, equips you with the essential tools and knowledge to excel in the fast-paced world of data analytics.
What You'll Learn
- Introduction to Data Science: Understand the fundamental concepts and set up your data science environment both on the cloud and locally.
- Data Manipulation with Pandas: Learn to load, explore, merge, and manipulate data using Python's powerful Pandas library.
- Data Visualization: Master basic and advanced plotting techniques to visualize trends, distributions, and geographical data.
- Machine Learning Fundamentals: Gain a solid foundation in machine learning, from understanding different types of ML tasks to feature engineering and building predictive models.
Hands-On Projects
Throughout the course, you'll work on five real-world projects, allowing you to apply what you've learned and build a robust portfolio:
Project 01: Taxi Project
Investigate matching metrics for failed taxi orders, analyze distribution of failures, and visualize problem areas on a map. Understand trends by hour and the correlation between clicks and previews on links.
Project 02: Web Traffic Analysis
Analyze web traffic data to understand event distributions, click rates, and country-specific traffic. Develop strategies to increase link click rates.
Project 03: Property Click Prediction
Model and predict property interactions on the NoBroker platform. Clean and explore the data, build predictive models, and evaluate their performance.
Project 04: NYC Taxi Data Challenge
Work with NYC Green Taxi data to analyze trip distances, identify trips to/from airports, and build a predictive model for tip percentages. Explore optional advanced analysis tasks, such as anomaly detection and ride-sharing optimization.
Project 05: Rotten Tomatoes Movies Rating Prediction
Use Rotten Tomatoes data to predict movie ratings and statuses. Merge datasets, transform data, and build both linear and logistic regression models.
Key Topics Covered
- Data Exploration and Cleaning: Learn techniques to explore, clean, and prepare data for analysis.
- Data Visualization: Understand when and how to use different types of plots, including trend lines, bar plots, scatter plots, histograms, and geographical maps using Folium.
- Feature Engineering: Handle null values, identify and remove outliers, encode categorical features, and scale numerical features.
- Machine Learning Algorithms: Implement and evaluate linear regression and classification models. Understand concepts like RMSE, confusion matrix, accuracy, recall, and precision.
Prerequisites
No prior experience in data analytics or programming is required. However, familiarity with basic statistics and Python programming will be beneficial. Brush up on your Python skills if needed, as the course includes practical coding exercises.
Enroll Now
Join us on this exciting journey to master data analytics. Gain the skills and confidence to tackle real-world data challenges and advance your career. Enroll today and start transforming data into actionable insights!
