Podcast
Questions and Answers
What is a key distinction between a data analyst and a data scientist?
What is a key distinction between a data analyst and a data scientist?
Which of the following skills is primarily associated with a machine learning engineer?
Which of the following skills is primarily associated with a machine learning engineer?
What level of business acumen is preferred for a data analyst?
What level of business acumen is preferred for a data analyst?
Which of the following roles has the highest requirement for advanced soft skills?
Which of the following roles has the highest requirement for advanced soft skills?
Signup and view all the answers
In terms of software skills, how does a data engineer compare to a machine learning engineer?
In terms of software skills, how does a data engineer compare to a machine learning engineer?
Signup and view all the answers
What is the primary responsibility of a Data Engineer?
What is the primary responsibility of a Data Engineer?
Signup and view all the answers
Which programming languages are essential for a Data Engineer?
Which programming languages are essential for a Data Engineer?
Signup and view all the answers
Which step in the Machine Learning Development Life Cycle involves improving the model's performance?
Which step in the Machine Learning Development Life Cycle involves improving the model's performance?
Signup and view all the answers
What is a primary task of a Data Analyst?
What is a primary task of a Data Analyst?
Signup and view all the answers
Which of the following best describes Data Engineering?
Which of the following best describes Data Engineering?
Signup and view all the answers
What is a key skill required for a Data Engineer?
What is a key skill required for a Data Engineer?
Signup and view all the answers
In data analysis, what is the purpose of data visualizations?
In data analysis, what is the purpose of data visualizations?
Signup and view all the answers
What distinguishes the role of a Machine Learning Engineer from other data roles?
What distinguishes the role of a Machine Learning Engineer from other data roles?
Signup and view all the answers
Study Notes
Course Information
- Course Title: Application of Communication and Information Technologies
- Institution: Air University, Islamabad, FCAI
- Semester: Fall 2024
- Instructor: Mr. Abu Bakar Siddique, Lecturer, Department of Creative Technologies, Air University, Islamabad
- Instructor Email: [email protected]
Instructor's Background
- Holds an MS in Computer Engineering from GIK Institute
- Holds a BS in Computer Software Engineering from UET Peshawar
Topics Covered
- Data Analysis
- Data Engineering
- Data Science
- Machine Learning
Data-Based Job Roles
- Data Analyst
- Data Engineer
- Data Scientist
- ML Engineer
Machine Learning Development Lifecycle
- Plan
- Data
- Process
- EDA
- Optimize
- Deploy
- Evaluate
- Modelling
Job Roles Breakdown
- Individuals cannot handle all steps in a large company
- Job roles are divided among these steps (Data Engineer, Data Analyst, Data Scientist, ML Engineer)
Data Engineer Role Description
- Responsible for gathering, organizing, and delivering data
- Ensures data availability for analysis and decision-making.
- Acts on database to data warehouse systems.
- Data engineering is a software field
Data Engineer Job Roles
- Scrape data from sources
- Store data in optimal servers/warehouses.
- Create data pipelines/APIs for easy data access.
- Manage databases/data warehouses
Data Engineer Skills
- Strong grasp of algorithms and data structures
- Proficiency in programming languages (Java/R/Python) and scripting
- Advanced Database Management Systems (DBMS) knowledge
- Expertise in big data tools (e.g., Apache Spark, Hadoop)
- Knowledge of cloud platforms (e.g., Amazon Web Services, Google Cloud Platform)
- Understanding of distributed systems
- Experience with data pipelines
Data Analyst Role Description
- Summarize past data for analysis
- Analyze why a specific product failed (e.g., product sales)
- Run analysis on data.
- Core function is data analysis
Data Analyst Skills/Activities
- Data cleaning/organizing
- Data analysis to extract insights
- Data visualization
- Report creation/maintenance
- Team collaboration based on insights
- Process optimization
Data Analyst Technical Skills
- Statistical programming
- Programming languages (R, Python)
- Analytical and problem-solving skills
- Business acumen (medium - high preferred)
- Strong communication
- Data mining, cleaning, and munging
- Data visualization
- Data storytelling
- SQL
- Advanced Microsoft Excel
Data Scientist Role Description
- Someone who excels in statistics more than software engineering.
- Someone with better software engineering skills than a statistician.
- Goal: Build the best model possible.
- Builds on data analyst skills in looking into past data, but extrapolates to future.
Machine Learning Engineer Responsibilities
- Deploy machine learning models to production-ready environments.
- Scale and optimize models for production
- Monitor and maintain deployed models
Machine Learning Engineer Skills
- Mathematics
- Programming Languages (R/Python)
- Distributed systems
- Data model and evaluation
- Machine Learning model development
- Software engineering/system design
Data Science Venn Diagram (Interconnected Skills)
- Programming skills
- Machine learning
- Math and statistics knowledge
- Data engineering
- Data analytics
- Business intelligence
Job Role Comparison
- Data analysts possess high analytical and storytelling skills, medium business acumen. High software skills.
- Data engineers have medium analytical skills, low business acumen and storytelling skills. High software skills.
- Data scientists have high analytical skills, high business acumen and storytelling skills. Medium software skills.
- ML engineers have medium to high analytical skills, medium business acumen and low storytelling skills. High software skills.
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.
Related Documents
Description
This quiz explores the key concepts in communication and information technologies related to data analysis, engineering, and science. It also delves into the roles and lifecycle of machine learning development. Prepare yourself for questions that will test your understanding of these vital topics in today's tech landscape.
