Prompt Engineering Jobs: Your 2025 Career Guide
January 14, 2025
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Launch your career in data science. Build job-ready skills and hands-on experience for an in demand career in as little as 5 months. No degree or prior experience required.
Instructors: Analytics Vidhya
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Beginner level
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No background required to take this specialization.
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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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
Applied Learning Project
Learners will be able to apply structured problem-solving techniques to dissect and address complex data-related challenges encountered in real-world scenarios and utilize SQL proficiency to retrieve and manipulate data and employ data visualization skills using Power BI to communicate insights. Becoming experts at Python programming to manipulate and analyze data. Learners will implement machine learning algorithms to create predictive models for diverse applications. And create compelling data stories to influence and inform your audience and master the art of critically analyzing data while making decisions and recommendations.
Explain the lifecycle of DS project and role of structured thinking in DS project.
Define a problem statement using the SMART framework. Explain the activities, best practices, and pitfalls in the implementation phase.
Construct MECE issue tree to break-down business problems into parts. Create a problem statement worksheet to scope business problems.
Explain the role of human centered design during solutioning of business problems.
Extract relevant data from the database in a time efficient manner
Build powerful SQL queries to derive insights
Analyse and manage large datasets, and derive inferences from complex relational database
Enable students to create and modify databases for relevant business problems
Select and use relevant charts for appropriate data problems
Use PowerBI to connect with data belonging to diverse formats
Communicate key insights from business problem using Reports and Dashboards
Create advanced visualization on Power BI using DAX
Explain the significance of Python in data science and its real-world applications.
Apply Python to manipulate and analyze diverse data sources, using Pandas and relevant data types
Create informative data visualizations and draw insights from data distributions and feature relationships
Develop a comprehensive data preparation workflow for machine learning, including data rescaling and feature engineering
Explain how humans behave when given data to calculate results
Demonstrate how perceptions, prejudices and biases affect human decision making
Illustrate that human decision making is challenging and humans need help to make better decisions
Summarize how humans can collaborate effectively with AI, overcoming their biases, perceptions and prejudices
Construct Machine Learning models using the various steps of a typical Machine Learning Workflow
Apply appropriate metrics for various business problems to assess the performance of Machine Learning models
Develop regression and tree based Machine learning Models to make predictions on relevant business problems
Analyze business problems where unsupervised Machine Learning models could be used to derive value from data
Employ regularization techniques for enhanced model performance and robustness.
Leverage ensemble methods, such as bagging and boosting, to improve predictive accuracy.
Implement hyperparameter tuning and feature engineering to refine models for real-world challenges.
Combine diverse models for superior predictions, expanding your predictive toolkit.
Explain the importance of Data Storytelling in communicating insights and facilitating decision making
Apply various visualization techniques to create a compelling data story
Apply various techniques to craft a compelling narrative for a data story
Create a captivating data story by integrating relevant data, clear visualization and a compelling narrative
Continuous learning is imperative to stay relevant in the world of Data Analytics and AI. Fractal Analytics Academy is your learning partner for all your learning requirements. We offer a variety of learning solutions; from instructor led trainings to blended learning and eLearning covering consulting and business skills, technical skills and life skills.
When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹
When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹
O.P. Jindal Global University
Degree · 12 - 24 months
¹Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information.
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
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Learners can complete this specialization within 5 months.
Basic understanding of programming concepts is helpful but not mandatory. A curious mind and dedication to learn are essential. An analytical mindset, a strong desire to make data-driven decisions, and attention to detail would be needed.
We highly recommend taking the courses in the order presented, as the content builds on information from earlier lessons.
Upon completion, you will earn a Professional Certificate, which will help to make your profile standout in your career journey.
Yes. All hirings will be per Fractal’s hiring policies/standard assessment criteria. Coursera will not be involved in the process.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.
¹Based on Coursera learner outcome survey responses, United States, 2021.
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