Coursera

Power BI for Data Science and Analytics (Coursera)

Offered by Edureka,
Power BI for Data Science and Analytics (Coursera)

Welcome to the Power BI for Data Science and Analytics Course. This course helps learners become proficient in utilizing the Power BI tool for data analytics. Leverage important Power BI features to extract more valuable insights from data and visuals. Centralize your data with the help of dataflows for modeling data that can also be used for text and image analytics.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

By the end of this course, you’ll be able to:

  1. Gain proficiency in utilizing the Power BI tool for effective data analytics
  2. Develop skills in creating insightful visualizations to convey meaningful information
  3. Comprehend the use of AI features in Power BI to extract valuable insights from data and visuals
  4. Demonstrate the ability to centralize data using dataflows for modeling
  5. Evaluate the effectiveness of AI features in enhancing data insights within the Power BI environment.
  6. Design Scorecards to display KPIs and other important metrics in a concise and understandable format.

This course is designed for Data Analysts, Business Intelligence Developers, and Business Analysts seeking to enhance their analytical and design skills.
Prior experience with MS Excel, Python, and Power BI operations is beneficial but not essential for this course.
Join us on this journey to elevate your Power BI analytical skills and design capabilities.
This course is part of the Mastering Power BI for Data Analytics & Storytelling Specialization.

What you'll learn
Analyzing Data by using the AI analytical features offered by Power BI

Syllabus

Data Science and AI with Power BI
In this module, you will be able to set an environment for analyzing datasets to apply various algorithms in Power BI. Gain a basic understanding of the importance of Data Science and Analytics. Construct AI-related results on the data to visualize important metrics that deal with anomaly detection, QnA etc.

Dataflows and AI Analytics
In the second week of this course, You will be able to construct dataflows to prepare, transform, and centralize data for consistent and reusable reporting . Manage data such that AI features can be utilized effectively on the designed dataset.

Advanced Cognitive Analytics
In the third week of this course, we'll learn about techniques offered by Power BI to analyze text and images to gain insights from the data. Focus on using M Functions to model data according to user preference.

Course Wrap-Up and Assessment
This module is designed to assess an individual on the various concepts and teachings covered in this course. Answer a comprehensive quiz which marks you as a learner who is confident in working with Power BI.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera) Coursera
Johns Hopkins University

Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera)

Statistics & Data Analysis Data Science

Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: a basic understanding of linear algebra and multivariate calculus; a basic understanding of statistics and regression models; at least a little familiarity with proof based mathematics; basic knowledge of the R programming language.

Nov 23rd 2026
4 Weeks
Algebra Linear Algebra Data Science
Details
Machine Translation (Coursera) Coursera
Karlsruhe Institute of Technology - KIT

Machine Translation (Coursera)

Data Science

Welcome to the CLICS-Machine Translation MOOC. This MOOC explains the basic principles of machine translation. Machine translation is the task of translating from one natural language to another natural language. Therefore, these algorithms can help people communicate in different languages. Such algorithms are used in common applications, from Google Translate to apps on your mobile device.

Nov 23rd 2026
5-12 Weeks
Machine Learning Translation Data Science
Details
Google Cloud Product Fundamentals em Português Brasileiro (Coursera) Coursera
Google Cloud

Google Cloud Product Fundamentals em Português Brasileiro (Coursera)

Business

Este curso é uma continuação do "Business Transformation with Google Cloud" e guiará você pela jornada de transformação de uma organização do ponto de vista tecnológico. Explicaremos como as organizações podem fazer a transformação digital usando a tecnologia do Google Cloud nestas categorias: modernização da infraestrutura de TI; melhorias no processo de desenvolvimento dos aplicativos da empresa; uso do machine learning e da inteligência artificial para criar novo valor; a importância de ferramentas de produtividade como o G Suite na realização do trabalho; e compreender as oportunidades e os desafios da gestão do custo que uma infraestrutura de TI na nuvem traz.

Nov 23rd 2026
5-12 Weeks
Artificial Intelligence Cloud Machine Learning
Details
Machine Learning Basics (Coursera) Coursera
Sungkyunkwan University - SKKU

Machine Learning Basics (Coursera)

CS: Software Engineering

In this course, you will: understand the basic concepts of machine learning; understand a typical memory-based method, the K nearest neighbor method; understand linear regression; understand model analysis. Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.

Nov 23rd 2026
4 Weeks
Machine Learning Linear Regression Logistic Regression
Details
Construção de Relacionamentos em Vendas Orientada a Dados (Coursera) Coursera
FIA Business School

Construção de Relacionamentos em Vendas Orientada a Dados (Coursera)

Statistics & Data Analysis Business

Nossas boas-vindas ao Curso Construção de Relacionamento em Vendas Orientada a Dados. Neste curso, você aprenderá métodos sobre data analytics para o ambiente dos profissionais de vendas. Ao final deste curso, você será capaz de avaliar relacionamentos entre o desempenho de vendas e os gastos relacionados; agrupar por semelhança itens, produtos ou serviços e, por fim, realizar recomendações de produtos para clientes sob características preestabelecidas.

Nov 23rd 2026
4 Weeks
Sales Data Analysis Regression Modeling
Details
Remote Sensing Image Acquisition, Analysis and Applications (Coursera) Coursera
UNSW Sydney - University of New South Wales

Remote Sensing Image Acquisition, Analysis and Applications (Coursera)

Engineering

Welcome to Remote Sensing Image Acquisition, Analysis and Applications, in which we explore the nature of imaging the earth's surface from space or from airborne vehicles. This course covers the fundamental nature of remote sensing and the platforms and sensor types used. It also provides an in-depth treatment of the computational algorithms employed in image understanding, ranging from the earliest historically important techniques to more recent approaches based on deep learning.

Nov 30th 2026
13-24 Weeks
Analysis Algorithms Machine Learning
Details
Discovering BI: From Warehousing to Interactive Dashboards (Coursera) Coursera
Coursera Instructor Network

Discovering BI: From Warehousing to Interactive Dashboards (Coursera)

Business

In a world where vast amounts of data are generated every second, understanding database structures and the art of transforming data into intelligence is increasingly crucial for those looking to excel in this realm. To embark on this journey, there is no better starting point than Business Intelligence (BI), covering everything from data storage to the creation of engaging dashboards.

Nov 23rd 2026
1 Week
Business Intelligence Data Warehousing Dashboards
Details
Machine Learning and Human Learning (Coursera) Coursera
University of Illinois at Urbana-Champaign

Machine Learning and Human Learning (Coursera)

Education

This course examines the differences between machine and human learning and the ways in which machines can complement human learning. It examines technical definitions of supervised and unsupervised machine learning, as well as broader views of mechanical intelligence able to replicate or exceed human intelligence.

Nov 23rd 2026
4 Weeks
Learning Artificial Intelligence Machine Learning
Details
Decision Making and Reinforcement Learning (Coursera) Coursera
Columbia University

Decision Making and Reinforcement Learning (Coursera)

Computer Science

This course is an introduction to sequential decision making and reinforcement learning. We start with a discussion of utility theory to learn how preferences can be represented and modeled for decision making. We first model simple decision problems as multi-armed bandit problems in and discuss several approaches to evaluate feedback. We will then model decision problems as finite Markov decision processes (MDPs), and discuss their solutions via dynamic programming algorithms. We touch on the notion of partial observability in real problems, modeled by POMDPs and then solved by online planning methods.

Nov 23rd 2026
5-12 Weeks
Algorithms Machine Learning Monte Carlo Method
Details
NLP Modelos y Algoritmos (Coursera) Coursera
Universidad Austral

NLP Modelos y Algoritmos (Coursera)

CS: Programming Data Science

Este curso te brindará los conocimientos necesarios para la implementación de algoritmos de NLP. Mediante el uso de los últimos algoritmos más populares en NLP se procederá a dar solución a un conjunto de problemas propios del área. Para realizar este curso es necesario contar con conocimientos de programación de nivel básico a medio, deseablemente conocimiento básico del lenguaje Python y es recomendable conocer los Jupyter Notebooks en el entorno Anaconda.

Nov 23rd 2026
4 Weeks
ML Algorithms NLP
Details