Data Analyst Mentorship for Absolute Beginner
This mentorship program provides absolute beginners with the opportunity to learn the fundamentals of data analysis from experienced professionals. It is designed to supplement online courses and provide a more comprehensive understanding of the field. ▼
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Course Feature
Cost:
Free
Provider:
Udemy
Certificate:
No Information
Language:
English
Course Overview
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Updated in [March 06th, 2023]
This Data Analyst Mentorship for Absolute Beginner course provides an overview of the essential concepts and skills needed to become a successful data analyst. It covers topics such as understanding what to think about before beginning as a beginner, knowing where to look for datasets for your own projects, determining which courses you must take as a beginner, and what mentors will inform you. Participants will gain an understanding of the fundamentals of data analysis, including data collection, data cleaning, data visualization, and data analysis. They will also learn how to use various tools and techniques to analyze data and create meaningful insights. At the end of the course, participants will have the knowledge and skills to start their journey as a data analyst.
[Applications]
The application of this course is to provide a comprehensive understanding of the data analyst field for absolute beginners. After completing this course, participants will have a better understanding of what to consider before beginning their journey as a data analyst, where to look for datasets for their own projects, and which courses they should take as a beginner. Additionally, they will have a better understanding of what mentors can inform them about the data analyst field.
[Career Paths]
1. Data Scientist: Data Scientists are responsible for analyzing large datasets to uncover trends and insights. They use a variety of tools and techniques to extract, clean, and transform data, and then use statistical and machine learning methods to interpret the data. Data Scientists are in high demand, and the field is expected to continue to grow as more organizations rely on data-driven decision making.
2. Business Intelligence Analyst: Business Intelligence Analysts are responsible for helping organizations make better decisions by analyzing data and providing insights. They use a variety of tools and techniques to extract, clean, and transform data, and then use statistical and machine learning methods to interpret the data. Business Intelligence Analysts are in high demand, and the field is expected to continue to grow as more organizations rely on data-driven decision making.
3. Data Engineer: Data Engineers are responsible for designing, building, and maintaining data pipelines and data warehouses. They use a variety of tools and techniques to extract, clean, and transform data, and then use statistical and machine learning methods to interpret the data. Data Engineers are in high demand, and the field is expected to continue to grow as more organizations rely on data-driven decision making.
4. Data Visualization Specialist: Data Visualization Specialists are responsible for creating visual representations of data to help organizations make better decisions. They use a variety of tools and techniques to extract, clean, and transform data, and then use statistical and machine learning methods to interpret the data. Data Visualization Specialists are in high demand, and the field is expected to continue to grow as more organizations rely on data-driven decision making.
[Education Paths]
1. Bachelor's Degree in Data Science: This degree program provides students with a comprehensive understanding of data science, including data analysis, data visualization, machine learning, and more. It also covers topics such as programming, mathematics, and statistics. This degree is becoming increasingly popular as businesses and organizations recognize the importance of data-driven decision-making. The demand for data scientists is expected to continue to grow in the coming years.
2. Master's Degree in Business Analytics: This degree program focuses on the application of data science to business operations. It covers topics such as data mining, predictive analytics, and optimization. Students learn how to use data to make informed decisions and develop strategies for businesses. This degree is becoming increasingly popular as businesses recognize the importance of data-driven decision-making.
3. Master's Degree in Artificial Intelligence: This degree program focuses on the development of intelligent systems. It covers topics such as machine learning, natural language processing, and computer vision. Students learn how to design and develop intelligent systems that can make decisions and solve problems. This degree is becoming increasingly popular as businesses and organizations recognize the importance of artificial intelligence.
4. Doctoral Degree in Data Science: This degree program provides students with an in-depth understanding of data science. It covers topics such as data mining, machine learning, and data visualization. Students learn how to use data to make informed decisions and develop strategies for businesses. This degree is becoming increasingly popular as businesses and organizations recognize the importance of data-driven decision-making.
Course Syllabus
Start With Business Value
Search For Value Driven Projects in Your Sector of Interest
Search for The Tools
Use Google, Ask Questions
Personal Projects and Documentation
Pros & Cons
Clear instructions on what to learn and how to learn.
Very explanatory video.
Exact mindset and paths to become a data analyst.
Great mentorship.
Well explained course.
Accent is hard to understand.
No English captions.
Accent not familiar.
Not enough detail.
Too fast paced.
Course Provider
Provider Udemy's Stats at AZClass
Discussion and Reviews
0.0 (Based on 0 reviews)
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