Data Science and Analytics Fundamentals
About this course
Learn what data is and why data is exploding
In today's data-driven world, businesses of all sizes are leveraging data analytics to gain a competitive edge, optimize operations, and enhance customer experiences. This lesson provides an overview of data analytics and its significance in modern businesses.
In today's digital age, the term "big data" is more than just a buzzword – it's a transformative force reshaping the way businesses and technologies operate. This lesson delves into the world of big data, explaining its definition, sources, and significance.
This lesson delves into the multifaceted world of data science and its wide-reaching applications across various industries. Students will gain a comprehensive understanding of the role of data science in uncovering hidden patterns, generating insights, and guiding decision-making.
This lesson provides a comprehensive overview of Business Intelligence (BI), a powerful discipline that combines data analytics, data mining, and data visualization to transform raw data into actionable insights. Students will explore the BI process, its significance in decision-making, and popular BI tools in the market.
This lesson explores the vital role of data engineering in modern data-driven organizations. Students will gain a comprehensive understanding of data engineering, including its purpose, key components, and significance in enabling data accessibility and analysis at scale.
This introductory lesson will provide you with a foundational understanding of data analytics and its significance in various industries.
In this lesson, we discussed the various applications of data analytics in different industries, including manufacturing, financial services, and retail.
This lesson provides an overview of the different types of data analytics used in businesses today. It explains each type of analytics, including descriptive, diagnostic, predictive, and prescriptive analytics, and provides real-world examples of how they are used.
The lesson objective is to provide an understanding of data analytics frameworks and data analytics life cycles. The lesson covers two main frameworks: the Google Data Analytics Certificate framework and the Project-based data analytics life cycle.
Summary of Data Analytics Frameworks
In demand tools for data analysts
In today's data-driven world, the role of a data analyst has become increasingly important. Learn more about the role of Data Analysts
By the end of this lesson, you will have a solid understanding of the role of a Business Intelligence Analyst and the skills required to make a significant impact on the success of any business.
In this online lesson, you will gain insights into the role of a data engineer, a critical player in the data science field responsible for building and maintaining data infrastructure.
You'll learn about the key responsibilities, skills, and qualities required for success in this role, including expertise in big data tools, programming languages, databases, cloud computing platforms, data warehousing, data visualization, and mor
In this lesson, we will explore the role of a Machine Learning Engineer and the fundamental concepts of machine learning.
Summary of roles in the Data Science and analytics space.
Roles in Data space cheatsheet
Welcome to this lesson on essential skills for data analysts! In today's data-driven world, data analysts are in high demand, and their role has become increasingly important. From identifying trends to making data-driven decisions, data analysts play a critical role in the success of any organization.
In this lesson, we will cover the key skills that are essential for a data analyst to possess.
These skills include technical skills, statistical and mathematical skills, problem-solving skills, communication skills, and business acumen.
Summary of roles and responsiblities
How to become a Data analyst
Learn how to work on projects to build your skills
Learn how to create a Data portfolio
Learn how to create amazing LinkedIn profile and network with other professionals.
Learn how to create a resume for Data analytics roles
Download your certificate.
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