Expert insights. Personalized for you.
Overview Open source data science projects add a lot of value to your resume and help you stand out in an interview Here are. The post 7 Open Source Data Science Projects you Should Add to your Resume appeared first on Analytics Vidhya. MORE
Introduction “Business Analytics” and “Data Science” – these two terms are used interchangeably wherever I look. But there’s one indisputable fact – both industries. The post Business Analytics vs. Data Science – Which Path Should you Choose? MORE
Microsoft made waves this May when it announced that it would lay off more than 50 journalists and editors from its workforce. Many of these employees were involved in the news curation process, selecting hand-picked content that would run on the Microsoft News and MSN websites. MORE
Let’s face it: every serious business that wants to generate leads and revenue needs to have a marketing strategy that will help them in their quest for profit. MORE
When it comes to blockchain, people perhaps could only relate it to cryptocurrencies. However, blockchain is not limited to cryptocurrencies but has rather developed enterprises that get a grip with other applications in the industry. MORE
In this analyst perspective, Dave Menninger takes a look at data lakes. He explains the term “data lake,” describes common use cases and shares his views on some of the latest market trends. MORE
Introduction With the advancement in deep learning, neural network architectures like recurrent neural networks (RNN and LSTM) and convolutional neural networks (CNN) have shown. The post Transfer Learning for NLP: Fine-Tuning BERT for Text Classification appeared first on Analytics Vidhya. MORE
Artificial intelligence (AI) and machine learning (ML) are all the rage right now. Our Machine Learning Dynamic Insights research shows that organizations are using these techniques to achieve a competitive advantage and improve both customer experiences and their bottom line. MORE
Overview Get to know the essential data visualization tips and techniques to improve your data stories Understand the effects of these data visualization tips. The post 8 Data Visualization Tips to Improve Data Stories appeared first on Analytics Vidhya. MORE
Overview matplotlib is a widely used Python library for performing data visualization and exploratory data analysis These 10 matplotlib tricks will enable you to. The post 10 matplotlib Tricks to Master Data Visualization in Python appeared first on Analytics Vidhya. MORE
Overview Git and GitHub are essential tools for any data science professional who wants to code Learn the value and the in’s and out’s. The post New to Git and GitHub? This Essential Beginners Guide is for you appeared first on Analytics Vidhya. Beginner Github git MORE
Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most. The post Understanding and coding Neural Networks From Scratch in Python and R appeared first on Analytics Vidhya. MORE
A dashboard is a tool that allows you to see at-a-glance the performance of your organization. The various widgets on a dashboard are often charts or gauges which help explain complex information. MORE
In recent years, analytical reporting has evolved into one of the world’s most important business intelligence components, compelling companies to adapt their strategies based on powerful data-driven insights. MORE
Like a lot of people, I’ve been glued to various media channels trying to learn about the latest with what is going on with COVID-19. I have also been frustrated - like a lot of people - with misinformation and the deluge of preprints and peer reviewed material. Some of this information is critically important and some is hard to trust. MORE
Overview There are a plethora of data science tools out there – which one should you pick up? Here’s a list of over 20. The post 22 Widely Used Data Science and Machine Learning Tools in 2020 appeared first on Analytics Vidhya. MORE
The ability to monitor, visualize, and analyze relevant data gives today’s businesses, across a host of sectors, the power to understand their prospects, make informed decisions, increase efficiencies, and work towards a set of rewarding long term goals. MORE
Overview Pandas provide tools and techniques to make data analysis easier in Python We’ll discuss tips and tricks that will help you become a. The post 5 Striking Pandas Tips and Tricks for Analysts and Data Scientists appeared first on Analytics Vidhya. MORE
Business intelligence software company Phocas is almost two decades old, profitable and quickly approaching $50 million in revenue, but it believes a cash injection from OneVentures will help it more than double its revenue in the next three years. MORE
Overview A machine learning system consists of multiple building blocks that need to be managed Learn about the three key building blocks of machine. The post 3 Building Blocks of Machine Learning you Should Know as a Data Scientist appeared first on Analytics Vidhya. MORE
The pace of change in the aged care sector, combined with processes that are out of alignment with the role and importance of analytics, may threaten operator's ability to meet patient demand and impact the overall quality of care provided. MORE
In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. Hodler. MORE
I was recently asked to identify key modern data architecture trends. Data architectures have changed significantly to accommodate larger volumes of data as well as new types of data such as streaming and unstructured data. Here are some of the trends I see continuing to impact data architectures. MORE
When it comes to implementing and managing a successful BI strategy we have always proclaimed: start small, use the right BI tools , and involve your team. We know that the best approach is an iterative and flexible approach, no matter the size of your company, industry or simply a department. MORE
Business intelligence has become this wonderful blanket term to cover a variety of elements. These include the collection, analysis, and reporting of information that relates to all of your business’ activities and operations. MORE
Overview JupyterLab is a brilliant coding environment to perform data science tasks These 10 reasons will convince to switch to JupyterLab from Jupyter Notebooks. The post 10 Compelling Reasons you Should Use JupyterLab for Data Science Coding appeared first on Analytics Vidhya. MORE
With data and analytics leaders across the globe transforming the way their businesses operate to meet the challenges of COVID-19, we caught up with Farfetch CDO Kshitij Kumar to get his take on what the future has in store. As a fashion retailer, Farfetch must have been affected by COVID-19. MORE
Overview PyCaret is a super useful and low-code Python library for performing multiple machine learning tasks in double-quick time Learn how to rely on. The post Running Low on Time? Use PyCaret to Build your Machine Learning Model in Seconds appeared first on Analytics Vidhya. MORE
Every once in a while, I see a tweet or post that asks whether one should use tool X or software Y in order to “make their data analysis reproducible”. I think this is a reasonable question because, in part, there are so many good tools out there! MORE
Introduction I love working with C++, even after I discovered the Python programming language for machine learning. C++ was the first programming language I. The post An Introduction to Machine Learning Libraries for C++ appeared first on Analytics Vidhya. MORE
Overview Skewness is a key statistics concept you must know in the data science and analytics fields Learn what is skewness, the formula for. The post Statistics for Data Science: What is Skewness and Why is it Important? appeared first on Analytics Vidhya. MORE
Overview SQL is a must-know language for anyone in analytics or data science Here are 8 nifty SQL techniques for data analysis that ever. The post 8 SQL Techniques to Perform Data Analysis for Analytics and Data Science appeared first on Analytics Vidhya. MORE
A Simple Analogy to Explain Decision Tree vs. Random Forest Let’s start with a thought experiment that will illustrate the difference between a decision. The post Decision Tree vs. Random Forest – Which Algorithm Should you Use? appeared first on Analytics Vidhya. MORE
Ahead of his appearance at this year’s Chief Data & Analytics Officer Africa conference, Michiel van Staden, Data Analytics Lead: Everyday Banking Growth at Absa, shares three things his experiences to date have taught him about data leadership. The value of data analytics rests on communication. MORE
Corinium
FEBRUARY 24, 2020
Ahead of his appearance at this year’s Chief Data & Analytics Officer Africa conference, Michiel van Staden, Data Analytics Lead: Everyday Banking Growth at Absa, shares three things his experiences to date have taught him about data leadership. The value of data analytics rests on communication.
Analytics Vidhya
JULY 26, 2020
Overview Get to know the essential data visualization tips and techniques to improve your data stories Understand the effects of these data visualization tips. The post 8 Data Visualization Tips to Improve Data Stories appeared first on Analytics Vidhya.
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datapine
FEBRUARY 4, 2020
Let’s face it: every serious business that wants to generate leads and revenue needs to have a marketing strategy that will help them in their quest for profit.
Phocas
APRIL 26, 2020
Business intelligence has become this wonderful blanket term to cover a variety of elements. These include the collection, analysis, and reporting of information that relates to all of your business’ activities and operations.
Simply Statistics
APRIL 28, 2020
Like a lot of people, I’ve been glued to various media channels trying to learn about the latest with what is going on with COVID-19. I have also been frustrated - like a lot of people - with misinformation and the deluge of preprints and peer reviewed material. Some of this information is critically important and some is hard to trust.
David Menninger's Analyst Perspectives
MARCH 30, 2020
I was recently asked to identify key modern data architecture trends. Data architectures have changed significantly to accommodate larger volumes of data as well as new types of data such as streaming and unstructured data. Here are some of the trends I see continuing to impact data architectures.
DataFloq
APRIL 3, 2020
“Don’t waste a crisis” – M.F. Weiner, 1976. A famous quote that has often been linked to Winston Churchill in the form “Never let a good crisis go to waste”.
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Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
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Corinium
JANUARY 16, 2020
Paul Morley. Datacon Africa DataCon Africa Insights Data and Analytics
Analytics Vidhya
JULY 12, 2020
Overview Pandas provide tools and techniques to make data analysis easier in Python We’ll discuss tips and tricks that will help you become a. The post 5 Striking Pandas Tips and Tricks for Analysts and Data Scientists appeared first on Analytics Vidhya.
Analytics Vidhya
JULY 23, 2020
Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most. The post Understanding and coding Neural Networks From Scratch in Python and R appeared first on Analytics Vidhya.
Analytics Vidhya
JULY 5, 2020
Overview Skewness is a key statistics concept you must know in the data science and analytics fields Learn what is skewness, the formula for. The post Statistics for Data Science: What is Skewness and Why is it Important? appeared first on Analytics Vidhya.
Analytics Vidhya
JUNE 30, 2020
Overview SQL is a must-know language for anyone in analytics or data science Here are 8 nifty SQL techniques for data analysis that ever. The post 8 SQL Techniques to Perform Data Analysis for Analytics and Data Science appeared first on Analytics Vidhya.
datapine
APRIL 15, 2020
When it comes to implementing and managing a successful BI strategy we have always proclaimed: start small, use the right BI tools , and involve your team. We know that the best approach is an iterative and flexible approach, no matter the size of your company, industry or simply a department.
Phocas
MARCH 16, 2020
Business intelligence software company Phocas is almost two decades old, profitable and quickly approaching $50 million in revenue, but it believes a cash injection from OneVentures will help it more than double its revenue in the next three years.
Simply Statistics
APRIL 29, 2020
Every once in a while, I see a tweet or post that asks whether one should use tool X or software Y in order to “make their data analysis reproducible”. I think this is a reasonable question because, in part, there are so many good tools out there!
David Menninger's Analyst Perspectives
MAY 7, 2020
In this analyst perspective, Dave Menninger takes a look at data lakes. He explains the term “data lake,” describes common use cases and shares his views on some of the latest market trends.
DataFloq
APRIL 21, 2020
When it comes to blockchain, people perhaps could only relate it to cryptocurrencies. However, blockchain is not limited to cryptocurrencies but has rather developed enterprises that get a grip with other applications in the industry.
Analytics Vidhya
JUNE 27, 2020
Overview There are a plethora of data science tools out there – which one should you pick up? Here’s a list of over 20. The post 22 Widely Used Data Science and Machine Learning Tools in 2020 appeared first on Analytics Vidhya.
Corinium
JULY 8, 2020
With data and analytics leaders across the globe transforming the way their businesses operate to meet the challenges of COVID-19, we caught up with Farfetch CDO Kshitij Kumar to get his take on what the future has in store. As a fashion retailer, Farfetch must have been affected by COVID-19.
Analytics Vidhya
JUNE 24, 2020
Overview JupyterLab is a brilliant coding environment to perform data science tasks These 10 reasons will convince to switch to JupyterLab from Jupyter Notebooks. The post 10 Compelling Reasons you Should Use JupyterLab for Data Science Coding appeared first on Analytics Vidhya.
Analytics Vidhya
JULY 20, 2020
Introduction With the advancement in deep learning, neural network architectures like recurrent neural networks (RNN and LSTM) and convolutional neural networks (CNN) have shown. The post Transfer Learning for NLP: Fine-Tuning BERT for Text Classification appeared first on Analytics Vidhya.
Analytics Vidhya
JUNE 25, 2020
Overview A machine learning system consists of multiple building blocks that need to be managed Learn about the three key building blocks of machine. The post 3 Building Blocks of Machine Learning you Should Know as a Data Scientist appeared first on Analytics Vidhya.
Analytics Vidhya
JULY 1, 2020
Overview Open source data science projects add a lot of value to your resume and help you stand out in an interview Here are. The post 7 Open Source Data Science Projects you Should Add to your Resume appeared first on Analytics Vidhya.
datapine
MAY 27, 2020
In recent years, analytical reporting has evolved into one of the world’s most important business intelligence components, compelling companies to adapt their strategies based on powerful data-driven insights.
Phocas
MAY 10, 2020
The pace of change in the aged care sector, combined with processes that are out of alignment with the role and importance of analytics, may threaten operator's ability to meet patient demand and impact the overall quality of care provided.
Analytics Vidhya
JUNE 28, 2020
Overview Information extraction is a powerful NLP concept that will enable you to parse through any piece of text Learn how to perform information. The post Hands-on NLP Project: A Comprehensive Guide to Information Extraction using Python appeared first on Analytics Vidhya.
David Menninger's Analyst Perspectives
APRIL 13, 2020
Artificial intelligence (AI) and machine learning (ML) are all the rage right now. Our Machine Learning Dynamic Insights research shows that organizations are using these techniques to achieve a competitive advantage and improve both customer experiences and their bottom line.
DataFloq
JULY 17, 2020
Microsoft made waves this May when it announced that it would lay off more than 50 journalists and editors from its workforce. Many of these employees were involved in the news curation process, selecting hand-picked content that would run on the Microsoft News and MSN websites.
Analytics Vidhya
MAY 24, 2020
Overview matplotlib is a widely used Python library for performing data visualization and exploratory data analysis These 10 matplotlib tricks will enable you to. The post 10 matplotlib Tricks to Master Data Visualization in Python appeared first on Analytics Vidhya.
Corinium
MAY 29, 2020
Faced with unprecedented global disruption, organizations are hungry for reliable insights to guide them through the global COVID-19 pandemic. In times of crisis, organizations often need to make tough decisions fast.
Analytics Vidhya
MAY 19, 2020
Overview Git and GitHub are essential tools for any data science professional who wants to code Learn the value and the in’s and out’s. The post New to Git and GitHub? This Essential Beginners Guide is for you appeared first on Analytics Vidhya. Beginner Github git
Analytics Vidhya
MAY 18, 2020
Overview PyCaret is a super useful and low-code Python library for performing multiple machine learning tasks in double-quick time Learn how to rely on. The post Running Low on Time? Use PyCaret to Build your Machine Learning Model in Seconds appeared first on Analytics Vidhya.
Analytics Vidhya
MAY 13, 2020
Introduction I love working with C++, even after I discovered the Python programming language for machine learning. C++ was the first programming language I. The post An Introduction to Machine Learning Libraries for C++ appeared first on Analytics Vidhya.
Analytics Vidhya
MAY 11, 2020
A Simple Analogy to Explain Decision Tree vs. Random Forest Let’s start with a thought experiment that will illustrate the difference between a decision. The post Decision Tree vs. Random Forest – Which Algorithm Should you Use? appeared first on Analytics Vidhya.
datapine
JANUARY 28, 2020
The ability to monitor, visualize, and analyze relevant data gives today’s businesses, across a host of sectors, the power to understand their prospects, make informed decisions, increase efficiencies, and work towards a set of rewarding long term goals.
Phocas
JUNE 23, 2020
A dashboard is a tool that allows you to see at-a-glance the performance of your organization. The various widgets on a dashboard are often charts or gauges which help explain complex information.
Analytics Vidhya
MAY 10, 2020
Introduction “Business Analytics” and “Data Science” – these two terms are used interchangeably wherever I look. But there’s one indisputable fact – both industries. The post Business Analytics vs. Data Science – Which Path Should you Choose?
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