Online Course – Certified Professional Certificate in Fractal Data Science by Fractal Analytics

Advance your career in data science. Develop job-ready skills and hands-on experience for an in-demand career in just 5 months. No degree or prior experience required.

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קורס אונליין - תעודה מקצועית מוסמכת בFractal Data Science של Fractal Analytics

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Solving data science problems
  • Retrieving and managing data using SQL
  • Data visualization using Power BI
  • Python programming for data analysis
  • Using machine learning algorithms
  • Creating predictive models
  • Building compelling data stories
  • Critical analysis of data
  • Decision making and recommendations

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Data Scientist
  • Python developer
  • SQL Expert
  • Data Analyst
  • Machine Learning Expert
  • Data Project Manager
  • Predictive Model Developer
  • Data visualization expert
  • Data Science Consultant

Professional Certificate – 8-course series

The data science field is expected to create 11.5 million new jobs worldwide by 2026 and offers many opportunities for remote work in the industry.

Prepare yourself for a new career in this demanding field with a professional certificate from Factal Analytics. Whether you are a graduate looking for a rewarding career change or a professional looking to upgrade your skills, this program will equip you with the essential skills required in the industry.

The program is built with a problem-solving-centered approach to give you the skills needed to solve data science problems, rather than just focusing on tools and applications.

Through hands-on courses, you will master the Python language, harness the power of machine learning, develop expertise in data manipulation, and build an understanding of cognitive factors that influence decisions. You will also learn the essential use of tools like SQL, PowerBI, and Python in real-world situations.

Upon completion of the course, you will receive a professional certificate, which will help you differentiate your profile in your career path.

The Factal Data Science Certification is one of the preferred requirements for entry-level data scientists at Factal. Complete this certification to set your profile apart from other candidates when applying for jobs at Factal. Please read the FAQs regarding Terms and Conditions.

1 ETHRWorld(Nov,21)

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

Hands-on Learning Project

Learners will be able to apply structured problem-solving techniques to explore and address complex data-related challenges exposed in real-world situations, leverage SQL proficiency to extract and manage data, and use data visualization skills using Power BI to communicate insights. They will become experts in Python programming to manage and analyze data. Learners will use machine learning algorithms to create predictive models for diverse applications. They will build compelling data stories that influence and guide their audience, and master the art of critically analyzing data while making decisions and recommendations.

Details of the courses that make up the specialization

A structured method for solving problems

Course 1

  • 15 hours
  • 4.8 (70 ratings)

Course Details

What you’ll learn

  • Explain the project life cycle in the field of information data and the role of structured analysis in this project.
  • Define a problem statement within the SMART framework.
  • Explain the activities, best practices, and points of failure in the implementation phase.
  • Build a MECE problem tree to break down business problems into parts.
  • Create a problem statement worksheet to define business problems.
  • Explain the role of human-centered design in solving business problems.

Skills you will acquire

  • Data cleaning and pre-processing
  • Data Analytics
  • Feature engineering
  • Data conversion
  • Investigative data analysis

Data analysis using SQL

Course 2

  • 18 hours
  • 4.5 (26 ratings)

Course Details

What you’ll learn

  • Extract relevant data from the database in a time-efficient manner.
  • Build powerful SQL queries to generate insights.
  • Analyze and manage large data systems and draw conclusions from complex relational databases.
  • Enable students to create and modify databases to solve relevant business problems.

Skills you will acquire

  • Critical thinking
  • Decision Making
  • communication
  • Awareness of cognitive biases

Insights from Power BI

Course 3

  • 14 hours
  • 4.6 (26 ratings)

Course Details

What you’ll learn

  • Select and use graphs appropriate for specific data problems.
  • Use Power BI to connect to data from a variety of formats.
  • Communicate key insights from a business problem through reports and dashboards.
  • Create advanced visualizations in Power BI using DAX.

Skills you will acquire

  • Logistic regression
  • Unsupervised learning
  • Data pre-processing
  • Linear regression
  • Decision tree

Python for data science

Course 4

  • 39 hours
  • 4.2 (34 ratings)

Course Details

What you’ll learn

  • Explain the importance of Python in data science and its real-world applications.
  • Apply Python to manipulate and gain insights from diverse data sources, using Pandas and relevant data types.
  • Create data visualizations and generate insights from data distributions and relationships between features.
  • PDevelop has a comprehensive workflow for preparing data for machine learning, including data refreshing and feature engineering.

Skills you will acquire

  • Storytelling
  • Data visualization
  • Data stories

Human decision-making and its biases

Course 5

  • 14 hours
  • 4.9 (30 ratings)

Course Details

What you’ll learn

  • Explain how humans behave when they are given data to calculate results.
  • Demonstrate how perceptions, prejudices, and biases influence human decision-making.
  • Make it clear that the field of human decision-making is challenging and humans need help to make better decisions.
  • Summarize how humans can effectively collaborate with artificial intelligence, while dealing with their biases, perceptions, and prejudices.

Skills you will acquire

  • Critical thinking
  • Structured thinking
  • Troubleshooting
  • Human-centered design
  • Problem statement

Machine Learning Fundamentals

Course 6

  • 25 hours

Course Details

What you’ll learn

  • Build machine learning models using the various steps of a typical workflow in the field.
  • Apply appropriate metrics to various business problems to evaluate the performance of machine learning models.
  • Develop regression models and tree models from top to bottom to predict relevant business problems.
  • Analyze business problems where unsupervised machine learning models can be used to extract value from data.

Skills you will acquire

  • MySQL Workbench
  • Data Analytics
  • Data manipulation
  • Relational database
  • SQL

Advanced machine learning algorithms

Course 7

  • 20 hours

Course Details

What you’ll learn

  • Use regularization techniques to improve the model’s performance and power.
  • Utilize ensemble methods, such as Bagging and Boosting, to improve predictive accuracy.
  • Apply hyperparameter tuning and feature engineering to refine models for real-world challenges.
  • Combine different models to get better forecasts, and expand your predictive toolbox.

Skills you will acquire

  • Data model
  • Data Analytics
  • Data visualization
  • Power BI
  • Creating dashboards

Data Story

Course 8

  • 12 hours
  • 4.7 (21 ratings)

Course Details

What you’ll learn

  • 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 create a compelling narrative for a data story.
  • Create a spectacular data story by combining relevant data, clear visualization, and a compelling narrative.

Skills you will acquire

  • Bagging and Boosting Algorithms
  • Model selection
  • Regulation
  • Hyperparameter tuning

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