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Technology & IT
Data Science - A Beginner's Journey
Learn from : Vure Anupama
Python, Machine Learning, Deep Learning, Data Science, Data Analysis, Data Modeling, Feature Engineering, Exploratory Data Analysis, Data Cleaning, Data Preprocessing
Course Language: English
Course Fee
$82.00
Course Fee
$82.00
Instructor Bio:
I'm Vure Anupama, a passionate Machine Learning and Data Science professional with hands-on experience in building real-world AI solutions. I have worked on end-to-end projects involving dental image object detection, model deployment, and performance optimization using tools like FastAPI, Postman, YOLO/YOLOv5, and MLflow. My experience also includes developing and evaluating machine learning and deep learning models using Python, Scikit-learn, Pandas, NumPy, Matplotlib, and other essential data science libraries. I specialize in data preprocessing, feature engineering, exploratory data analysis, model building, and deploying ML pipelines. As a strong ML enthusiast, I enjoy simplifying complex concepts and helping others build a solid foundation in Data Science, Machine Learning, and Python programming. I focus on practical, industry-oriented learning that prepares students to work confidently on real-time projects.
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Course Description:
Course Description:
“Data Science — A Beginner’s Journey” is a 6-week beginner-friendly program designed to teach the core foundations of data science from scratch.
The course covers Python programming, data cleaning, data visualization, machine learning basics, and one end-to-end real-world project.
The concepts will be explained in simple English along with basic Telugu support for better understanding.
By the end of the course, students will be able to analyze datasets, build ML models, and create a project portfolio for fresher-level Data Science or Data Analyst roles.
Curriculum:
🔹 Week 1: Python Programming Basics
🔹 Week 2: Data Handling & Data Cleaning
🔹 Week 3: Data Visualization
🔹 Week 4: Introduction to Machine Learning
🔹 Week 5: Intermediate Machine Learning
🔹 Week 6: End-to-End Data Science Project + Career Preparation
Course Curriculum:
- Introduction to Data Science
- Python for Data Science
- Working With Data (NumPy & Pandas)
- Data Cleaning Techniques
- Data Visualization
- Exploratory Data Analysis (EDA)
- Introduction to Machine Learning
- Machine Learning Algorithms
- Model Evaluation Techniques
- Mini Projects
- Final Major Project
Earn a Course Completion Certificate
Add this certificate in your LinkedIn Profile, resume or share it on social media platforms. It helps validate the learner’s knowledge and skills, boosting their resume and increasing their employability.
