How to Generate Synthetic Data using Python | Create Realistic Fake Dataset for your Project #python

Want to practice data analysis but don’t have real-world data? In this video, you’ll learn how to generate realistic synthetic (artificial) data using Python (Numpy & Pandas) for data analytics and data science projects. 📌 In this video, we covered: ✔ What is synthetic data and why it is important ✔ Creating random data using NumPy and Pandas ✔ Generating realistic columns like order value, age, delivery time, etc. ✔ Using np.random functions (normal, randint, choice, seed) ✔ Introducing missing values intentionally ✔ Creating outliers for real-world data simulation ✔ Building a dataset ready for data cleaning, EDA, and visualization 📊 In upcoming videos, using this synthetic data you will learn: → Data Cleaning using Pandas → Exploratory Data Analysis (EDA) → Data Visualization with Matplotlib & Seaborn → Building an interactive analytics dashboard This video is perfect for: • Data Analyst Beginners • Data Science Students • Python Learners • Anyone building portfolio projects If you found this useful, Like, Share, and Subscribe for more Python, Data Analysis, Power BI, and Data Science content. 🚀 --------------------------------- 👉Purchase - Python Data Analysis Self Study Notes & All Projects Source Codes (Rs.499 only) - https://rzp.io/l/dslnotes239 Download - Python Pandas Notes ( Rs.50 ) - http://bit.ly/3KxMpgA --------------------------------- 👉Connect with me on LinkedIn - https://www.linkedin.com/in/rohit-grewal Watch our videos in Hindi on new channel: https://www.youtube.com/@ITCoursesEasy --------------------------------- 👉Enroll in our Udemy courses : 1. Python Data Analytics 13 Projects - https://www.udemy.com/course/bigdata-analysis-python/?referralCode=F75B5F25D61BD4E5F161 2. Python For Data Science - https://www.udemy.com/course/python-for-data-science-real-time-exercises/?referralCode=9C91F0B8A3F0EB67FE67 3. Numpy For Data Science - https://www.udemy.com/course/python-numpy-exercises/?referralCode=FF9EDB87794FED46CBDF ------------------------------------ 👉Join Facebook Group - https://www.facebook.com/groups/datasciencelovers 👉Join WhatsApp Group - https://chat.whatsapp.com/JKBkj7Lc9Ba6ZpzVSP5N4O 👉Join LinkedIn Group - https://www.linkedin.com/groups/9247278 👉Follow on Instagram - https://www.instagram.com/data_science_lovers Contact Mail Id : datasciencelovers@gmail.com -------------------------------- You must check our other Data Analytics Projects : Project 14 - Salary Data Analysis - https://youtu.be/TLIotspGcng Project 13 - HR Data Analytics - https://youtu.be/fykrwQD3HR4 Project 12 - AI Market Financial Data Analysis - https://youtu.be/WmJYHz_qn5s Project 11 - Airlines' Flights Data Analysis - https://youtu.be/gu3Ot78j_Gc Project 10 - Spotify-YouTube Data Analysis - https://youtu.be/xqtbBosGMl0 Project 9 - https://youtu.be/dQwnyCEZ-UU Project 8 - https://youtu.be/b7Kd0fLwgO4 Project 7 - https://youtu.be/AO5uhxa1R84 Project 6 - https://youtu.be/e1zKFSrKeLs Project 5 - https://youtu.be/q-Omt6LgRLc Project 4 - https://youtu.be/89eYAAPyRfo Project 3 - https://youtu.be/GyUbo45mVSE Project 2 - https://www.youtube.com/watch?v=fhiUl7f5DnI Project 1 - https://youtu.be/4hYOkHijtNw ut8am #python #dataanalytics #datascience #project #syntheticdata