Sudip Shrestha

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"Introduction to Applied Data Science with Python" is a 6-week course designed to equip beginners with essential skills in Python for data science. Covering topics from basic programming to machine learning, it's perfect for aspiring data scientists, business professionals, and anyone looking to harness data for insights and decision-making.

Applied Data Science with Python - Syllabus

The Python flashcards are a quick, effective tool for you to reinforce key Python concepts. Enjoy the read!

Python Flashcard

Data scientists who apply statistical and ML techniques to extract insights from data.

Building, training, and deploying machine learning models — from classical ML to deep learning.

Gain essential data science skills with Python to address real-world challenges. Prepare for a future in data science in only 6 weeks.
 

Dr. Sudip Shrestha

Introduction to Applied Data Science with Python 

Assistant Professor (Clinical) 

Economics Student

QA Engineer

Postdoctoral Research Associate

Sr. Geospatial Analyst

Clinical Informaticist

RPA Developer

Medical Scientist

👩‍🏫 ABOUT THE INSTRUCTOR: Dr. Sudip Shrestha is a seasoned data science leader with over 10 years of experience in applying AI and data science across various industries. His expertise spans from advanced analytics and machine learning to leading data science projects and teams. Dr. Shrestha's passion for teaching and sharing his insights in AI/ML makes him an exceptional mentor for those aspiring to enter or progress in the data science and AI fields. 👩‍💻 ABOUT THE COURSEThis 6-week course is designed to empower you with the essential skills in Python for data science. It's perfect for those with no prior experience in programming or data science, as well as for professionals looking to upskill. You will start from the basics of Python programming, gradually moving into more complex areas such as data manipulation, analysis, visualization, and real-world application. By the end of the course, you will be comfortable in using Python for various data science tasks, enabling you to analyze and interpret complex datasets effectively. 🌟 WHY THIS COURSE STANDS OUT﻿⭐️ Tailored for absolute beginners, making complex concepts accessible and easy to understand. ⭐️ Focus on practical applications, ensuring skills learned are immediately applicable in real-world scenarios. ⭐️ Comprehensive coverage of essential data science tools and techniques within a short timeframe. ⭐️ A perfect blend of theory and hands-on practice, including a real-world project to showcase new skills.

Describe the transformation students will have in your course

Course syllabus

Mondays

Aug 12, 2024

You'll spend about 2-4 hours per week for homework or project.

Homework/Projects

Course schedule

Aspiring Data Scientists: Beginner data analysts or data scientists looking to enhance their foundational skills in data science and Python.

Business Professionals: Business analysts, managers, or any professionals who aim to utilize data science for better decision-making.

Non-Coders Seeking a Career Change: Professionals from non-technical backgrounds who want to transition into the data science field.

Who is this course for

What you’ll get out of this course

You will gain a foundational understanding of data science, its key concepts including AI and ML, and the role of Python in data science. You'll also learn to write simple Python scripts and understand basic programming concepts​​.

Understanding Data Science & Python Basics: 

You will learn techniques for data manipulation, cleaning, and preparation. This includes understanding the importance of data quality and how to perform data analysis using Python's powerful libraries, Pandas and NumPy​​.

Data Analysis with Pandas and NumPy

You will understand the importance and principles of effective data visualizations and how they can drive business value. You'll gain hands-on experience in creating visualizations, customizing plots, and generating insights from visual data using Matplotlib and Seaborn libraries

Data Visualization with Python

You will demystify the world of machine learning, learning about its lifecycle, various types (supervised, unsupervised, reinforcement learning), and key concepts necessary for developing machine learning models​​.

Machine Learning Fundamentals

You will apply your learning to build and evaluate a basic machine learning model using the Scikit-Learn library. This includes understanding model selection, overfitting, and applying linear regression on a dataset​​.

Practical Machine Learning Application

You will understand the capability of ChatGPT and how to effectively use it for simple data science queries. This includes best practices in prompt engineering and responsible use of AI.

How to use ChatGPT for Effective Learning

You will have the opportunity to apply all the skills learned throughout the course in a Capstone Project. This project will allow you to demonstrate your ability to analyze, visualize, and model data to predict outcomes, simulating real-world data science tasks

Learn directly from Sudip Shrestha

Sudip Shrestha

Courses

Introduction to Applied Data Science with Python

Resources

Applied Data Science with Python - Syllabus

Python Flashcard