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

This course is an introductory course that equips you with the concepts and tools of problem thinking. By the end of this course, you will be able to:

 1. Explain the different stages of a data science project 
 2. Discuss some of the tools and techniques used in data science. 
 3. Apply structured thinking to solving problems and avoid the common traps while doing so
 4. Apply human-centric design in problem-solving.

 This course also acts as the first stepping-stone for aspiring data scientists. This course is a part of the program titled Fractal Data Science Professional Certificate. This course  is tailored for learners seeking to enhance their analytical and critical thinking abilities. Ideal for students, professionals, and anyone intrigued by systematic approaches, this course empowers you with the foundational skills needed to approach problems with clarity and confidence.

Structured Approach to Problem Solving

In this comprehensive course, you will embark on a transformative journey to 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. 

With a focus on practical application, you will delve into the world of data analysis, discovering how to derive meaningful insights from large datasets housed within complex relational databases. By the end of this course, you will 
Gain skills to create and modify databases, equipping you with the ability to solve real-world business problems. 
 Learn to filter and clean datasets, ensuring the accuracy and reliability of your analysis. 

Whether you aspire to be a data analyst, a business intelligence professional, or a decision-maker relying on data-driven insights, this course will provide you with the necessary tools and knowledge to succeed.

Data Analysis Using SQL

Today's business world is becoming increasingly data-driven. Small and large businesses use data to make decisions about sales, hiring, goals, and all areas they have data for. While most businesses have access to data of one type or another, it can be intimidating for an average business user to understand the data without a background in data analytics. 

Microsoft’s Power BI takes the intimidation and hassle out of data analysis and visualization.

Throughout this course, you will identify errors in the datasets and diagnose them using data cleaning and transformation techniques to prepare them for reporting purposes. With a focus on practical applications, you will solve complex visualizations using the DAX operator and assess the visualizations to plan business-related decisions.

Whether you aspire to be a data analyst, a business intelligence professional, or a decision-maker relying on data-driven insights, this course will provide you with the necessary tools and knowledge to succeed.

Insights of Power BI

Understanding the importance of Python as a data science tool is crucial for anyone aspiring to leverage data effectively.  This course is designed to equip you with the essential skills and knowledge needed to thrive in the field of data science. 

This course teaches the vital skills to manipulate data using pandas, perform statistical analyses, and create impactful visualizations. Learn to solve real-world business problems and prepare data for machine learning applications. Get ready for some challenging assessments in the Python course where you'll apply your skills to real-world scenarios, ensuring a rewarding learning experience. 
 
Join us and Enroll in this course and take a step into the world of data-driven discoveries. No previous experience required

Python for Data Science

This course discusses the biases and limitations of the human brain ,strategies to overcome these biases, and critically analyzes data while making decisions and recommendations. 
Analyzing data effectively and objectively is a long journey and the first step is to be aware of these biases, prejudices and perceptions. 

By the end of this course, you would develop a deep understanding of the biases that affect human decision making and the methodologies to apply in countering these biases. You will also be equipped with frameworks for effective decision-making. 

Enroll in this course to uncover the intricacies of human decision making and embark on an exploration of human decision making. No previous experience required

Human Decision Making and its Biases

In a world where data-driven insights are reshaping industries, mastering the foundations of machine learning is a valuable skill that opens doors to innovation and informed decision-making. In this comprehensive course, you will be guided through the core concepts and practical aspects of machine learning. Complex algorithms and techniques will be demystified and broken down into digestible knowledge, empowering you to wield the capabilities of machine learning confidently. By the end of this course, you will:

1. Grasp the fundamental principles of machine learning and its real-world applications. 
2. Construct and evaluate machine learning models, transforming raw data into actionable insights. 
3. Navigate through diverse datasets, extracting meaningful patterns that drive decision-making. 
4. Apply machine learning strategies to varied scenarios, expanding your problem-solving toolkit. 

This course equips you with the foundation to thrive as a machine learning enthusiast, data-driven professional, or someone ready to explore the dynamic possibilities of machine learning.

Foundations of Machine Learning 

In a world where data-driven solutions are revolutionizing industries, mastering advanced machine learning techniques is a pivotal skill that empowers innovation and strategic decision-making. This equips you with the expertise needed to harness advanced machine-learning algorithms. You will delve into the intricacies of cutting-edge machine-learning algorithms. Complex concepts will be simplified, making them accessible and actionable for you to harness the potential of advanced algorithms effectively. By the end  of this course, you will learn to: 

1. Employ regularization techniques for enhanced model performance and robustness.
2. Leverage ensemble methods, such as bagging and boosting, to improve predictive accuracy. 
3. Implement hyperparameter tuning and feature engineering to refine models for real-world challenges. 
4. Combine diverse models for superior predictions, expanding your predictive toolkit. 
5. Strategically select the right machine learning models for different tasks based on factors and parameters.

Advanced Machine Learning Algorithms

In today's data-driven world, the ability to transform complex information into compelling narratives is essential. This course equips you with the principles and techniques of storytelling, coupled with data visualization skills, to craft captivating stories that engage and influence diverse audiences. 

Through hands-on exercises and real-world case studies, you will learn to distill intricate data into clear and concise narratives, enabling you to drive organizational impact and make informed decisions. Data storytelling bridges the gap between data analysis and human interpretation, enhancing communication, transparency, and decision-making. 

Enroll in this course to unlock the transformative power of data narratives and become a proficient data storyteller. 

This course welcomes everyone with a desire to unlock the power of data storytelling! Whether you're a business professional navigating the world of data analysis, a student embarking on your data journey, or a marketer looking to make your presentations soar, this beginner-friendly course lays the foundation for effective data communication.

Technical expertise? Not required! While the course doesn't teach specific visualization tools like Tableau or Power BI, it rather shares knowledge about storytelling principles that breathe life into visualizations and analyses. For those already well-versed in technical skills, this course acts as a bridge, transforming your data and charts into a captivating narrative that resonates with any audience.

For non-technical learners, this journey equips you to contribute confidently to data-driven projects and understand what goes behind impactful presentations. You'll discover how to frame your data as a compelling story, ensuring your voice is heard clearly and your insights take center stage.

Fractal Data Science

About the Program

Description

Deliverables

0 Credits

Academic Excellence

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