Artificial intelligence (AI) Series presents
Data Science for Artificial Intelligence
Sunday, September 15th, 2024 9:00 AM – 5:00 PM EST
Course Description:
- What is data science? Study of data to extract meaningful insights for business.
- Data science, data engineer, Business Analytics, Predictive analytics, Big Data
- Statistics, Visualization, Deep Learning, Machine Learning
- 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)
- Job: researching, writing algorithms and writing code to answer the questions about the data sets in question
- Five Vs of analytics vs. 5 Ps of data science- The 5 Ps of product, price, promotion, place, and people
- Do you register for college degree or certification? Can you learn on your own?
- 4 Types of Data: Nominal, Ordinal, Discrete, Continuous
- Big Data vs. Data science vs data engineering vs data analytics vs. AI vs. ML vs. DL
- Big Data – past, present and predictive
- Six things will help – Apache Hadoop, Python, R, data mining, SQL, data structures
- Types of analytics- diagnostic, descriptive, prescriptive, and predictive analytics
- Low cost learning/certificate of data analytics
CPE Credits: 7
Capacity: webinar - 15 people