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Intro to Data Science

via Cybrary


This introduction to data science course will give you the skills and knowledge involved in this multidisciplinary field. It will introduce you to its concept of data science and the many interrelated disciplines within the industry.

Data science is extracting insights and useful information from vast amounts of data, which could involve analyzing environmental data, creating machine learning programs, or even finding patterns within a record of cybersecurity incidents. It also combines various approaches to generate useful information.

About This Introduction to Data Science Course

Cybrary’s Intro to Data Science Course will provide you with the essential concepts, including big data analysis. It is a multi-disciplinary field that relies on many disciplines to be effective. Those disciplines include using methods in science, statistics, analyzing data, and sometimes machine learning and combining their approaches to extract useful data insights.

Why Learn Data Science?

Why should someone take the time to learn data science? While the information age has brought on massive amounts of data, not all of it is useful. Data scientists can analyze and process this data in a helpful way. As the infrastructure of networks and communications grows, it passes vast amounts of data to users. The data collected by private organizations and governments, for example, can be too overwhelming for a basic and even intuitive analysis. Social media companies collect massive amounts of users’ data for marketing. In the public sector, data analysis can fight crime and, among others, predict climate conditions. Data Science helps in their analyzes and finds patterns to provide meaningful insights.

How difficult is it to learn Data Science?

Data science is easy, and anyone with interest can complete the certification course. You need not be an expert in statistics or data analytics to learn data science. A basic understanding of the concepts, however, is essential. Advanced concepts, like machine learning, can likewise expand your potential in its applications. It is easy to understand, provided you put in the effort and time to learn each section.

What are the prerequisites? Can anyone learn Data Science?

Data science requires an understanding of several unique concepts to form a multi-disciplinary approach. You need not have a master’s degree to learn data science and its core concepts, but many professional data scientists have high education. As this is an introductory course, it will discuss a lot of foundational concepts for the first time. At an advanced level, data scientists are familiar with programming in R, Python, and SQL. Data scientists also work with Apache Hadoop to process massive amounts of data, and they are familiar with machine learning and Artificial Intelligence (AI) practices. If you are not familiar with these concepts, it is not a problem because this is an introductory course that would prepare you for more advanced topics. It is important to understand that data science is a field that draws on many practices. It also draws from other professionals in different disciplines to carry out a comprehensive analysis.

How is Data Science as a career?

Data science is a relatively new and upcoming career choice. The skills learned in data science can be applied towards the work of an analyst, engineer, data mining specialist, or even statistician. Data science careers rely on advanced skills, so they often carry considerable salaries. On average, a mid-level data scientist makes roughly $128,750 per year. For entry-level data scientists, the median salary is about $95,000 per year. The salary shows that data science can be a lucrative career for those with the knowledge and dedication to learn the field. However, specialized skills require education. As it is a highly specialized field, it requires a considerable amount of effort to learn what is necessary. Cybrary is the fastest growing catalog in the cybersecurity industry, and there are many online data science courses and materials available for learning data science and related fields.

Can I find work this introduction to data science course?

Many organizations deal with analyzing massive amounts of data, and data science is growing quickly in demand as a new field. In short, you can find work with in data science. Having a certificate in data science can help you find positions in analyzing data and creating machine learning applications.

While the field is growing in popularity, the learning curve can be steep. But thanks to Cybrary because it provides data science certification training through convenient online courses. This Introduction to Data Science course can get you started on the basic concepts and a valuable professional opportunity for anyone seeking to advance their career.


  • Module 1: Data Science Intro
    • 1.1 Introduction
    • 1.2 What is Data Science?
    • 1.3 Data Science Lifecycle
  • Module 2: Data Capture
    • 2.1 Data Acquisition
    • 2.2 Data Entry
    • 2.3 Signal Reception
    • 2.4 Data Extraction
  • Module 3: Maintain
    • 3.1 Data Warehousing Part 1
    • 3.2 Data Warehousing Part 2
    • 3.3 Data Cleansing
    • 3.4 Data Staging
    • 3.5 Data Processing
    • 3.6 Data Architecture
  • Module 4: Process
    • 4.1 Data Mining Part 1
    • 4.2 Data Mining Part 2
    • 4.3 Data Mining Part 3
    • 4.4 Data Clustering Classification Part 1
    • 4.5 Data Clustering Classification Part 2
    • 4.6 Data Summarization
  • Module 5: Analyze
    • 5.1 Exploratory/Confirmatory
    • 5.2 Predictive Anaylsis
    • 5.3 Regression
    • 5.4 Text Mining
    • 5.5 Qualitative Data
  • Module 6: Communicate
    • 6.1 Data Reporting
    • 6.2 Data Visualization
    • 6.3 Business Intelligence
    • 6.4 Decision Making
  • Module 7: Conclusion
    • 7.1 Data Science Life Cycle Summary

Taught by

Alvin Onyilofor


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