Cohort 1

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 

Freddie Mac

Citi

Guidehouse

👩‍🏫 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

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

Capstone Project

DISCOUNT

In the first week, you'll enter the exciting world of data science, understanding its importance and diverse uses. You'll start learning Python, a key language in data science, focusing on basic syntax, variables, and data types. This foundational knowledge is crucial for your growth in the field.

First Module

In Week 2, you'll learn data analysis techniques using Python's Pandas and NumPy libraries. The focus will be on data manipulation, cleaning, and preparation, crucial for effective data science. Through hands-on coding, you'll apply these skills to real datasets, gaining practical experience in data wrangling and quality checks.

Second Module

Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

Third Module

Course syllabus

What people are saying

Meet your instructor

Mondays

Aug 12, 2024

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

Homework/Projects

Course schedule

This course builds on live workshops and hands-on projects

Active hands-on learning

You’ll be interacting with other learners through breakout rooms and project teams

Interactive and project-based

Join a community of like-minded people who want to learn and grow alongside you

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About this course

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