Breaking into Data Science and Machine Learning with Python
Breaking into Data Science and Machine Learning with Python - If you have any quantitative, STEM or business background this course is for you to break into data science using Python
New | Created by Dr. KM Mohsin
Let me tell you my story. I graduated with my Ph. D. in computational nano-electronics but I have been working as a data scientist in most of my career. My undergrad and graduate major was in electrical engineering (EE) and minor in Physics. After first year of my job in Intel as a "yield analysis engineer" (now they changed the title to Data Scientist), I literally broke into data science by taking plenty of online classes. I took numerous interviews, completed tons of projects and finally I broke into data science. I consider this as one of very important achievement in my life. Without having a degree in computer science (CS) or a statistics I got my second job as a Data Scientist. Since then I have been working as a Data Scientist.
What you'll learn
- You will learn how to use Python for data science along with other libraries e.g. NumPy, Pandas, Matplotlib, Scikit-learn
- You will also learn: Exploratory data Analysis (EDA), Descriptive Analysis, Predictive Modeling using Machine Learning/Deep Learning
- Data Science Best Practices: How techniques and tools are being used by real Data Scientist in industries.
- Machine Learning Model: Linear and Logistics Regression, KNN, Naive Bayes, Multinomial Models
Preview this Course
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