FACEXPRO : BIG DATA ANALYTICS & AI

Big Data Analytics and Artificial Intelligence

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Poll

Which of the following describes "Data Analytics"?

• It is the process of examining data sets in order to find trends and draw conclusions about the information they contain.

• It is the pursuit of extracting meaning from raw data using specialized computer systems. These systems transform, organize, and model the data to draw conclusions and identify patterns.

• It is the broad field of using data and tools to make business decisions.

• It is a discipline focused on extracting insights from data, including the analysis, collection, organization, and storage of data, as well as the tools and techniques used to do so.

Multiple Select

Which of the following type of data analytics do you think have defined wrong?

• Descriptive Analytics defined what happened to the data.

• Using multiple prediction models, diagnostic analytics

  predict various outcomes and the best course of action for each outcome.

• Predictive Analytics predicts the occurrence of an event or forecast the future values using prediction models.

• Prescriptive Analytics aims to determine the reason why certain events needs to happen in the data

Big Data

• collections of datasets whose volume, velocity, or variety is so large that it is difficult to store, manage, process and analyze the data using traditional databases and data processing tools. 

• collection of data that is huge in volume, yet growing exponentially with time.

Types of Big Data

• Structured

• Unstructured

• Semi-structured

Multiple Choice

These data have no clear format in storage and not in the traditional database format.

• Structured

• Unstructured

• Semi-Structured

Multiple Choice

These are data already stored in the databases in an ordered manners

• Structured

• Unstructured

• Semi-Structured

Multiple Choice

These data are not in the usual database format but have the property of being easier to process.

• Structured

• Unstructured

• Semi-Structured

What is Big Data Analytics?

Open Ended

In your own words, what is Big Data Analytics?

How Big Data Analytics works?

Process of Big Data Analytics

• Collect

• Process

• Clean

• Analyze

Artificial Intelligence

Artificial

• Made by humans

• Not Naturally created

Intelligence

Ability to acquire knowledge or skills

What is Artificial Intelligence?

Fill in the Blank

Artificial Intelligence is the _________________________ in machines through programming to mimic and think like humans.

Artificial Intelligence

is the simulation of human intelligence in machines through programming to mimic and think like humans. 

Multiple Select

What are the three focus skills of humans that AI aims to integrate with the machine?

• Learning Process

• Motor skills

• Reasoning Process

• Self-Correction Process

Multiple Select

What are the types of AI according to ability?

• Artificial Narrow Intelligence

• Theory of Mind

• Artificial General Intelligence

• Artificial Super-Intelligence

• Self-Awareness

According to Ability

• Artificial Narrow Intelligence

• Artificial General Intelligence

• Artificial Super-Intellignce

Multiple Select

What are the types of AI according to functionality?

• Self-Awareness

• Theory of Mind

• Artificial Narrow Intelligence

• Limited Memory

• Self-Awareness

According to Ability

• Reactive Machines

• Limited Memory

• Theory of Mind

• Self-Awareness

Multiple Choice

1. Point out the correct statement.

• a) Raw data is original source of data

• b) Preprocessed data is original source of data

• c) Raw data is the data obtained after processing steps

• d) None of the mentioned

Multiple Choice

2. Which of the following is the most important language for Data Science?

• a) Java

• b) Ruby

• c) R

• d) None of the mentioned

Multiple Choice

3. Which of the following approach should be used to ask Data Analysis question?

• a) Find only one solution for particular problem

• b) Find out the question which is to be answered

• c) Find out answer from dataset without asking question

• d) None of the mentioned

Multiple Choice

4. Which of the following is one of the key data science skills?

• a) Statistics

• b) Machine Learning

• c) Data Visualization

• d) All of the mentioned

Multiple Choice

5. Which of the following is characteristic of Processed Data?

• a) Data is not ready for analysis

• b) All steps should be noted

• c) Hard to use for data analysis

• d) None of the mentioned

Multiple Choice

6. Data Analysis is a process of?

• A. inspecting data

• B. cleaning data

• C. transforming data

• D. All of the above

Multiple Choice

7. Which of the following block information is odd man out?

• a.Subsetting

• b) Raw data

• c) Ready for analysis

• d) None of the mentioned

Multiple Choice

8. Data that summarize all observations in a category are called __________ data.

• a) frequency

• b) summarized

• c) raw

• d) none of the mentioned

Multiple Choice

9. Which of the following is another name for raw data?

• a) destination data

• b) eggy data

• c) secondary

• d) machine learning

Multiple Choice

10. What are the tools used in Data Analytics?

• a .R programming

• b .Python

• c. Tableau Public

• d. All the above

Multiple Choice

Which of the following data roles is responsible for extracting, integrating, and organizing data into data repositories?

• Data Scientist

• Data Analyst

• Business Intelligence Analyst

• Data Engineer

Multiple Choice

When we analyze data in order to understand why an event occurred, which of the four types of data analytics are we performing?

• Descriptive Analytics
• Diagnostic Analytics
• Predictive Analytics
• Prescriptive Analytics

Multiple Choice

Which of the following Lean Analytics stages that most startups are failing?

• Stickiness
• Virality
• Scale
• Revenue

Multiple Choice

Which of the following is not the common problem in Data Analytics?

• Poor quality of Data
• The number of data being collected
• Gathering essential and real-time data
• Excess amount of skills

Multiple Choice

The first step in the data analysis process is to gain an in-depth understanding of the problem and the desired outcome. What are you looking for at this stage of the data analysis process?

• The data you need
• What will be measured and how it will be measured
• Where you are and where you need to be
• The best tools for sourcing data

Multiple Choice

Which of the data analyst functional skills helps research and interpret data, theorize, and make forecasts?

• Analytical skills
• Problem-solving skills
• Proficiency in Statistics
• Probing skills

Multiple Choice

Why is proficiency in Statistics an important skill for a Data Analyst?

• For creating project documentation
• For acquiring data from multiple sources
• For identifying patterns and correlations in data
• For creating queries to extract required data

Multiple Choice

Which of the following is not the example of analytical Database?

• Transactional data
• Inventory data
• Machine data
• Process data

Multiple Choice

Which emerging technology has made it possible for every enterprise to have access to limitless storage and high performance computing?

• Machine learning
• Big Data
• Internet of Things
• Cloud computing

Multiple Choice

What does ETL stand for in data warehousing?

• Extraction, Transmission, and Learning

• Embedded, Transformation, and Linking

• Extraction, Transformation, and Loading

• Embedded, Transmission, and Loading

Multiple Choice

Which types of AI programmed learn from the past and build experiential knowledge by observing actions or data?

• Reactive AI

• Limited Memory AI

• Theory of Mind AI

• Self-aware AI

Multiple Choice

Which of the following metrics is relevant to measure retention?

• Monthly active users

• Cost-per-click

• Number of signups

• Conversion rate

Multiple Choice

Which type of funnel has an “Offer Upsells” cycle?

• Marketing Sales Funnel

• Content Marketing Funnel

• Lead Magnet Funnel

• Ecommerce Sales Funnel

Multiple Choice

Which architectural layers focus on the transportation of data from the ingestion layer to the rest of the data pipeline?

• Data Collector

• Data Processing

• Data Query

• Data Storage

Multiple Choice

Where is the data analyst in the organization structure?

• Under data team

• Under marketing team

• Under operation team

• All above are correct