Learning Microsoft Power BI:Transforming Data into Insights

Enregistré dans:

Détails bibliographiques
Auteur principal:	Arnold,J
Format:	Livre
Langue:	anglais
Publié:	Mumbai SPD 2022
Sujets:	CSEDS, ICT
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Learning Microsoft Power BI : transforming data into insights
par: Arnold,Jeremey
Publié: (2022)

Managing Business Information
par: Laudon,Kenneth C.
Publié: (2007)

Cyber Beans 2.0 : An Integral Approach For Joyful Learning 7
par: Kips Learning Pvt. Ltd
Publié: (2024)

Cyber Beans 2.0 : An Integrated Approach For Joyful Learning
par: Kips Learning Pvt. Ltd
Publié: (2024)

Cyber Beans 2.0 : An Integrated Approach To Joyful Learning 8
par: Kips Learning Pvt. Ltd
Publié: (2024)

Microsoft Power BI For Dummies
par: Hyman, Jack
Publié: (2025)

Microsoft Power BI Dashboards
par: O'Connor, Errin
Publié: (2025)

Reinforcement Learning
par: Sutton, R S
Publié: (1998)

Learning Spark
par: DAM
Publié: (2020)

Deep Learning
par: Goodfellow, I
Publié: (2016)

Machine Learning Design Patterns: Solution to Common Challenges in Data Preparation
par: Lakshmanan, V
Publié: (2021)

Deep Learning for Vision Systems
par: Elgendy, Mohamed
Publié: (2020)

Mastering Reinforcement Learning with Python
par: Bilgin, Enes
Publié: (2020)

Ethics and Data Science
par: Loukides, M
Publié: (2022)

Principles of Data Wrangling
par: Rattenbury,T
Publié: (2023)

Multivariate Data Analysis
par: Hair,Joseph F
Publié: (2019)

Essential Math for Data Science:Take Control Of Your Data
par: Nield, T
Publié: (2023)

Practical Statistics for Data Scientists
par: Bruce, Peter
Publié: (2024)

Data Engineering with Apache Spark
par: Kukreja, Manoj
Publié: (2021)

Big Data using Hadoop and Hive
par: Kumar, Nitin
Publié: (2021)

Spatial Data Analysis:Theory and Practice
par: Haining, R
Publié: (2003)

Statistical Mehods for Spatial Data Analysis
par: Schabenberger, Oliver
Publié: (2005)

Foundation of Deep Reinforcement Learning: theory and Prac in Python
par: Graesser, L
Publié: (2022)

Practical Time Series Analysis :Prediction with Statistics and Machine Learning
par: Nielsen, Aileen
Publié: (2019)

Microsoft Power BI Quick Start Guide
par: Knight, Devin
Publié: (2022)

Microsoft Power BI dashboards : step by step
par: O'Connor, Errin
Publié: (2020)

Deep Learning
par: Patterson, J
Publié: (2021)

Deep Learning
par: Kelleher, J D
Publié: (2019)

Privacy and Big Data
par: Craig,T
Publié: (2011)

Bad Data Handbook
par: McCallum, E
Publié: (2013)

Machine Learning,3rd Ed
par: Mitchell, T M
Publié: (2015)

Fundamentals of Data Engineering
par: Reis, J
Publié: (2022)

Deep Learning with Python
par: Chollet, F
Publié: (2018)

Grokking Deep Learning
par: Trask, A W
Publié: (2019)

Learn Computer vision Using OpenCV:With Deep Learning
par: Gollapudi,Sunila
Publié: (2019)

Best Practices in DATA CLEANING
par: Osborne, J W
Publié: (2019)

Pro Power BI Desktop
par: Aspin, Adam
Publié: (2024)

Pro Power BI Desktop
par: Aspin, Adam
Publié: (2018)

Pro Power BI Desktop
par: Aspin, Adam
Publié: (2020)

Pro Power BI Desktop
par: Aspin, Adam
Publié: (2018)