5 Free University Courses to Learn Data Science
KDnuggets
JANUARY 18, 2024
Looking to make a career in data science? Here are five free university courses to help you get started.
KDnuggets
JANUARY 18, 2024
Looking to make a career in data science? Here are five free university courses to help you get started.
Knowledge Hut
JANUARY 18, 2024
Data Science is an amalgamation of several disciplines, including computer science, statistics, and machine learning. As the world on the internet is becoming our second home, Big Data has exploded. Data Science is the study of this big data to derive a meaningful pattern. All the businesses are now looking to explore this gold mine of information to solve already existing problems.
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databricks
JANUARY 18, 2024
This is part 1 of a blog series where we look back at the major areas of progress for Databricks SQL in 2023.
Knowledge Hut
JANUARY 18, 2024
In my journey as a Scrum Master, I've experienced the profound impact of Backlog Refinement on the success of Agile projects. This process goes beyond mere task management; it embodies a strategic approach aimed at enhancing the efficiency and manageability of Agile initiatives. Through this meticulous process of continuously grooming and prioritizing backlog items, I have seen teams transform their workflow, achieving higher productivity and better alignment with project goals.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
KDnuggets
JANUARY 18, 2024
From Chaos to Clarity: Understanding the Unstructured Data Dilemma.
Knowledge Hut
JANUARY 18, 2024
Data Science has risen to become one of the world's topmost emerging multidisciplinary approaches in technology. Recruiters are hunting for people with data science knowledge and skills these days. Entering the field of data science can be extremely rewarding and beneficial to your career due to its tremendous future advancement opportunities. Data Scientists collect, analyze, and interpret large amounts of data.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Knowledge Hut
JANUARY 18, 2024
Data science is a multidisciplinary field that requires a broad set of skills from mathematics and statistics to programming, machine learning, and data visualization. The world has been swept by the rise of data science and machine learning. Data scientists are in high demand, and the demand will only continue to rise. However, data scientists need to know certain programming languages and must have a specific set of skills.
Confluent
JANUARY 18, 2024
The Confluent CLI now supports custom plugins to simplify CLI commands, execute dynamic workflows, and boost efficiency. Read a step-by-step guide on how to get started.
Knowledge Hut
JANUARY 18, 2024
When people decide to start their journey in the cloud industry, their first confusion is which certification course they should take. The two primary certifications in this field are CISA (Certified Information Systems Auditor) and CISSP (Certified Information Systems Security Professional). Though both offer a great start to the cloud professional's journey, they belong to different spectrums.
ArcGIS
JANUARY 18, 2024
Sharing a new ArcGIS Pro style called moonpies which provides an alternative chart symbology to the much maligned pie chart
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Knowledge Hut
JANUARY 18, 2024
Given today's massive amounts of data, data science is an essential component of many companies, and it is one of the most contested subjects in the IT industry. Its popularity has expanded over time, and individuals have begun to use diverse data science approaches to develop their businesses and boost consumer happiness. This post will define the concept and discuss how to learn data science.
databricks
JANUARY 18, 2024
Since COVID, countless articles have been written about the "Great Resignation", including in-depth analysis by the World Economic Forum. One key thing this.
Knowledge Hut
JANUARY 18, 2024
With an array of career options, all that matters is choosing the right career path. The right career path for one depends on their skill set, interest, job availability in that field, and, most importantly, your passion for the same. Speaking of job vacancies, the two careers have high demands till date and in upcoming years are Data Scientist and a Software Engineer.
Elder Research
JANUARY 18, 2024
With generative AI showing early promise of substantial productivity gains, organizations should start to think not just of traditional metrics like ROI but of ROA, Return on Adoption as a critical measure of success in the future.
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
Knowledge Hut
JANUARY 18, 2024
Most organizations are still in the initial stages of learning how to apply data science to gain business benefits and healthy returns. To maximize the benefits of data science, people need to have good technical knowledge of managing the data in a production environment, without which the awareness of full stack data science is insufficient. Full-stack refers to the skills required to complete a project where each component is treated as a stack.
Precisely
JANUARY 18, 2024
The mainframe is alive and well, and it’s not going anywhere anytime soon. In fact, in a 2023 BMC survey , 92% of respondents said they see the mainframe as a platform for long-term growth and new workloads. Mainframes make up some of the most formidable computing power in the world , delivering security, scalability, and reliability that make these systems ideal for intensive mission-critical workloads.
Knowledge Hut
JANUARY 18, 2024
Cybercriminals today are resourceful, persistent, and relentless. They employ various strategies and technologies to breach networks, systems, and applications. Ethical hacking is a valuable tool for determining how well a company is at blocking, detecting, and reacting to new attack methods. Ethical hacking is identifying and exploiting security flaws to improve an organization's cyber security.
The Modern Data Company
JANUARY 18, 2024
In the intricate and competitive world of wine and spirits, leveraging data effectively has become a cornerstone for success. Yet, this task is often hindered by a range of challenges, such as the lack of in-house data expertise , the high costs associated with data management, and the overwhelming complexity of utilizing diverse data sets to drive marketing and sales strategies.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Knowledge Hut
JANUARY 18, 2024
Enterprise businesses were always dynamic. But the rapid advancement in technology pushes almost every industry to change even faster. This change includes defining the new needs, assessing the effects of changes, identifying the possible risks, and finding ways to mitigate those risks. All of this work is now done by Business Analysts. I've observed that Business Analysts act as a connector between the IT department and the business department of companies.
Pinterest Engineering
JANUARY 18, 2024
Author: Cathy Qian, Aayush Mudgal, Yinrui Li and Jinfeng Zhuang Image from [link] Introduction At Pinterest, our mission is to bring everyone the inspiration to create a life they love. People often come to Pinterest when they are considering what to do or buy next. Understanding this evolving user journey while balancing across multiple objectives is crucial to bring the best experience to Pinterest users and is supported by multiple recommendation models, with each providing real-time inferenc
Knowledge Hut
JANUARY 18, 2024
Business analysis certifications are still in their infancy, but a number of firms are now taking tests to certify business analytics skills. As a business analyst, my role involves spotting trends, patterns, and problems that might otherwise go unnoticed, helping organizations make the most out of the data they collect. Fortunately, there are several educational platforms that offer business analyst certification.
Snowflake
JANUARY 18, 2024
Advanced analytics help manufacturers extract insights from their data and improve operations and decision-making. But for manufacturers, it’s often challenging to perform analytics with ERP data. Because of the high rate of M&A activity in the industry, manufacturing enterprises often struggle with multiple ERP instances. A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible.
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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.
Knowledge Hut
JANUARY 18, 2024
Data science is a multidisciplinary field that requires a broad set of skills from mathematics and statistics to programming, machine learning, and data visualization. The world has been swept by the rise of data science and machine learning. Data scientists are in high demand, and the demand will only continue to rise. However, data scientists need to know certain programming languages and must have a specific set of skills.
Edureka
JANUARY 18, 2024
This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. It emphasizes the importance of reporting strategies, data visualization tools, domain expertise, and lifelong learning for a fulfilling career in data science.
Knowledge Hut
JANUARY 18, 2024
Companies continue to quickly shift workloads from data centers to the cloud, adopting innovative technologies like containers, serverless, and machine learning to benefit from cloud computing's enhanced efficiency, better scaling, and faster implementations. Earning the globally renowned CCSP cloud security certification is a tried and true approach to furthering your career while improving the security of key assets in the cloud.
The Modern Data Company
JANUARY 18, 2024
Problem & Opportunity Statement There have been constant shifts in alcohol drinking trends across the global markets, and with each new year, a new set of alcohol beverage consumption statistics, trends, and predictions follow. According to Distilled Spirits Council of the United States, while the pandemic led to an increase in at-home consumption and soaring sales for off-premises retailers, consumers also experimented with new kinds of alcohol and developed a taste for higher quality s
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Knowledge Hut
JANUARY 18, 2024
One of the greatest benefits I've found in working remotely, especially when dealing with teams spread across various time zones, is the opportunity to provide on-call, live customer service 24/7. Being responsive is crucial in our customer service department because the majority of consumers expect an immediate response to their inquiries. If I, as a remote representative, can't solve a problem, it's imperative that I escalate the issue vertically to the right department and team members for re
Monte Carlo
JANUARY 18, 2024
5 factors that lead to alert fatigue and how to prevent them with incident management best practices Last Friday afternoon, Pedram Navid, head of data at Dagster and overall data influencer , went to X to ask an important question. He asked: Ok — is anomaly detection in data actually that useful or is just a bunch of alerts you end up muting and not doing anything with?
Knowledge Hut
JANUARY 18, 2024
Agile has significantly improved how businesses operate. According to McKinsey and Co. research, the advantages of Agile methodologies are indisputable. Agile organizations have reported notable improvements compared to non-Agile teams, with 93% indicating enhanced customer satisfaction, 76% experiencing improved employee engagement, and 93% reporting superior operational performance.
Knowledge Hut
JANUARY 18, 2024
In this article, I'll walk you through the fundamentals of Naive Bayes, a robust machine learning algorithm. Known for its simplicity, speed, and effectiveness, especially in real-time scenarios, Naive Bayes leverages Bayes' theorem and assumes feature independence for swift predictions. We'll explore its applications, including spam filtering and sentiment analysis, highlighting its strengths.
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In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.
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