Breaking in to Data Science with Python
Duration: 22h 27m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 8.86 GB
Genre: eLearning | Language: English
Duration: 22h 27m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 8.86 GB
Genre: eLearning | Language: English
If you are in a quantitative field (STEM) or in business this course is for you to break in to data science.
What you'll learn:
Tools: Python, NumPy, Pandas, Matplotlib, Scikit-learn, Git
Techniques: 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.
Who this course is for:
Anyone interested to break into Data science
College Students Aspiring to be a Data Scientist
Data Analyst or any Data Professional
Beginner and Intermediate level Data Scientist
Professional with STEM degree breaking in to Data Science
Technical Program Managers working with Data Scientist
More Info