A.I. Series: Data Science for Artificial Intelligence

Artificial intelligence (AI) Series presents

Data Science for Artificial Intelligence

Sunday, September 15th, 2024 9:00 AM – 5:00 PM EST

Course Description:

1. What is data science? Study of data to extract meaningful insights for business.
2. Data science, data engineer, Business Analytics, Predictive analytics, Big Data
3.  Statistics, Visualization, Deep Learning, Machine Learning
4. Skills of data scientist- Statistical analysis and computing: Machine Learning. Deep Learning, Processing large data sets, Data Visualization, Data Wrangling, Mathematics, Programming Python, R etc)
5. Job: researching, writing algorithms and writing code to answer the questions about the data sets in question
6. Five Vs of analytics vs. 5 Ps of data science- The 5 Ps of product, price, promotion, place, and people
7. Do you register for college degree or certification? Can you learn on your own?
   
8. 4 Types of Data: Nominal, Ordinal, Discrete, Continuous  
   
9. Big Data vs. Data science vs data engineering vs data analytics vs. AI vs. ML vs. DL 
   
10. Big Data – past, present and predictive
    
11. Six things will help – Apache Hadoop, Python, R, data mining, SQL, data structures
    
12. Types of analytics- diagnostic, descriptive, prescriptive, and predictive analytics
13. Low cost learning/certificate of data analytics

CPE Credits: 7     

Capacity: webinar - 15 people