2020

What Data Analysts Need from Their Leadership

Corinium

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.

8 Data Visualization Tips to Improve Data Stories

Analytics Vidhya

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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12 Marketing Reports Examples You Can Use For Annual, Monthly, Weekly And Daily Reporting Practice

datapine

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.

Don't drop the data: Why business intelligence software matters

Phocas

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.

Amplifying people I trust on COVID-19

Simply Statistics

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.

Five Modern Data Architecture Trends

David Menninger's Analyst Perspectives

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.

The Rise of Digitalism: Will the Coronavirus Trigger the End of Liberalism?

DataFloq

“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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A Brief History of Our Future

Corinium

Paul Morley. Datacon Africa DataCon Africa Insights Data and Analytics

5 Striking Pandas Tips and Tricks for Analysts and Data Scientists

Analytics Vidhya

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.

Understanding and coding Neural Networks From Scratch in Python and R

Analytics Vidhya

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.

Statistics for Data Science: What is Skewness and Why is it Important?

Analytics Vidhya

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.

8 SQL Techniques to Perform Data Analysis for Analytics and Data Science

Analytics Vidhya

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.

Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

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 keen to grow after capital raisings

Phocas

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.

Asymptotics of Reproducibility

Simply Statistics

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!

Data Lakes Meet Data Warehouses

David Menninger's Analyst Perspectives

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.

Blockchain and Big Data: The Perfect Duo for Data Integrity

DataFloq

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.

22 Widely Used Data Science and Machine Learning Tools in 2020

Analytics Vidhya

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.

Farfetch CDO Kshitij Kumar: Data Availability has Never Been More Important

Corinium

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.

10 Compelling Reasons you Should Use JupyterLab for Data Science Coding

Analytics Vidhya

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.

Transfer Learning for NLP: Fine-Tuning BERT for Text Classification

Analytics Vidhya

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.

3 Building Blocks of Machine Learning you Should Know as a Data Scientist

Analytics Vidhya

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.

7 Open Source Data Science Projects you Should Add to your Resume

Analytics Vidhya

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.

Seize The Power Of Analytical Reports – Business Examples & Templates

datapine

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.

Building the case for data analytics in the aged care sector

Phocas

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.

Hands-on NLP Project: A Comprehensive Guide to Information Extraction using Python

Analytics Vidhya

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.

You Can’t Plan on AI and ML

David Menninger's Analyst Perspectives

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.

AI journalism: possibilities, limitations, and outcomes

DataFloq

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.

10 matplotlib Tricks to Master Data Visualization in Python

Analytics Vidhya

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.

Demand for Data and Analytics Soars in the Wake of COVID-19

Corinium

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.

New to Git and GitHub? This Essential Beginners Guide is for you

Analytics Vidhya

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

Running Low on Time? Use PyCaret to Build your Machine Learning Model in Seconds

Analytics Vidhya

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.

An Introduction to Machine Learning Libraries for C++

Analytics Vidhya

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.

Decision Tree vs. Random Forest – Which Algorithm Should you Use?

Analytics Vidhya

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.

Best Dashboard Ideas & Design Examples To Boost Your Business Success

datapine

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.

4 ways dashboards provide more insight into financial performance

Phocas

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.

Business Analytics vs. Data Science – Which Path Should you Choose?

Analytics Vidhya

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?