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Fractal Data Science

Fractal Analytics, Analytics Vidhya, and Fractal Analytics

Data science is projected to create 11.5 1 million global job openings by 2026 and offers many of the remote 2 job opportunities in the industry.

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Data science is projected to create 11.5 1 million global job openings by 2026 and offers many of the remote 2 job opportunities in the industry.

Prepare for a new career in this high-demand field with a Professional Certificate from Fractal Analytics. Whether you're a recent graduate seeking a rewarding career shift or a professional aiming to upskill, this program will equip you with the essential skills demanded by the industry.

This curriculum is designed with a problem-solving approach at the center to equip and enable you with the skills, required to solve data science problems, instead of just focusing on the tools and applications.

Through hands-on courses you'll master Python programming, harness the power of machine learning, cultivate expertise in data manipulation, and build understanding of cognitive factors affecting decisions. You will also learn the direct application of tools like SQL, PowerBI, and Python to real-world scenarios.

Upon completion, you will earn a Professional Certificate, which will help to make your profile standout in your career journey.

Fractal Data Science Professional Certificate is one of the preferred qualifications for entry-level data science jobs at Fractal. Complete this certificate to make your profile standout from other candidates while applying for job openings at Fractal.Please read FAQ’s for T&C’s

1 ETHRWorld(Nov,21)

2 remote.com/blog/remote-job-roles

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What's inside

Seven courses

Structured Approach to Problem Solving

(0 hours)
This introductory course provides concepts and tools for problem thinking. By the end, you will be able to:
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Data Analysis Using SQL

(0 hours)
In this course, you will master the art of analyzing data through SQL. SQL is a powerful tool used for managing and manipulating data in relational databases. Throughout this course, you will acquire the essential skills to efficiently extract relevant data from databases, empowering you to navigate through vast amounts of information with ease.
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Insights of Power BI

(0 hours)
Today's business world relies on data to make decisions. Microsoft’s Power BI simplifies data analysis and visualization. This course teaches data cleaning, transformation, and visualization techniques using DAX operators. It prepares learners for roles in data analysis, business intelligence, and data-driven decision-making.
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Python for Data Science

(0 hours)
Understanding Python's importance as a data science tool is crucial for anyone aspiring to leverage data effectively. This course equips you with essential skills and knowledge to thrive in data science.
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Human Decision Making and its Biases

(0 hours)
This course explores the biases and limitations of human decision-making. It provides strategies to overcome these biases and critically analyze data when making decisions. By the end of this course, you will understand the biases that affect human decision-making and the methodologies to counter them.
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Foundations of Machine Learning

(0 hours)
In a data-driven world, mastering the foundations of machine learning is a valuable skill. This course will guide you through the core concepts and practical aspects of machine learning. By the end of this course, you will be able to grasp the fundamental principles of machine learning and its real-world applications, construct and evaluate machine learning models, navigate through diverse datasets, and apply machine learning strategies to varied scenarios.
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Advanced Machine Learning Algorithms

(0 hours)
In a data-driven world, mastering advanced machine learning techniques is crucial. This course empowers you with the expertise to harness advanced machine-learning algorithms. You will delve into the intricacies of cutting-edge algorithms, learning to employ regularization techniques, leverage ensemble methods, implement hyperparameter tuning, combine diverse models, and strategically select the right models for different tasks.
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Learning objectives

  • apply structured problem-solving techniques to dissect and address complex data-related challenges encountered in real-world scenarios.
  • Utilize sql proficiency to retrieve, manipulate data and employ data visualization skills using power bi to communicate insights.
  • Apply python expertise for data manipulation, analysis and implement machine learning algorithms to create predictive models for applications.
  • Create compelling data stories to influence your audience and master the art of critically analyzing data while making decisions and recommendations.

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Time
2 hours
Level
Introductory
Via
Coursera
Institution
Fractal Analytics
Instructors
Fractal Analytics
Analytics Vidhya
Fractal Analytics
Level
Introductory
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