Data Science Dojo

OCTOBER 4, 2024

Key Skills Required Knowledge of Algorithms and Predictive Models: Proficiency in using algorithms and predictive models to forecast future trends based on present data. Data Visualization Techniques: Ability to transform complex data into understandable graphs and charts.

Computer Science 418

Computer Science Computer Science Database Administration Data Scientist 418

Tableau

OCTOBER 23, 2023

Either way, you may have noticed two things: Tableau Blueprint is designed to help you and your organization, no matter how small or large, be successful with data, visualization, analysis, governance, and more. No surprise: Tableau Blueprint discusses the Private Cloud option and your considerations for approaching it.

Tableau 123

Tableau Cloud Computing Azure Data Visualization 123

ODSC - Open Data Science

SEPTEMBER 12, 2024

Must-Use Data Visualization Datasets, AI Frameworks for Software Engineering, DynGAN, and 50% Off ODSC West 12 Must-Use Datasets for Data Visualization in 2024 Need to practice making sense of your data? US Proposes Mandatory Reporting for AI and Cloud Providers The U.S.

Data Visualization 40

Data Visualization Data Science AI AI 40

Analytics Vidhya

FEBRUARY 28, 2023

Introduction Data science has taken over all economic sectors in recent times. To achieve maximum efficiency, every company strives to use various data at every stage of its operations.

Data Science 353

Data Science Data Preparation Big Data Big Data 353

Analytics Vidhya

DECEMBER 12, 2022

Data science is one of India’s rapidly growing and in-demand industries, with far-reaching applications in almost every domain. Not just the leading technology giants in India but medium and small-scale companies are also betting on data science to revolutionize how business operations are performed.

Analytics 342

Analytics Analytics Data Science Data Visualization 342

Data Science Dojo

MAY 24, 2024

Navigate through 6 Popular Python Libraries for Data Science R R is another important language, particularly valued in statistics and data analysis, making it useful for AI applications that require intensive data processing.

Deep Learning 195

Deep Learning Deep Learning Machine Learning Machine Learning 195

Data Science 101

JULY 31, 2019

The focus of the event is data in the cloud (migrating, storing and machine learning). Some of the topics from the summit include: Data Science IoT Streaming Data AI Data Visualization. You can pre-register for the conference now.

Cloud Data 95

Cloud Data Data Science Machine Learning Machine Learning 95

Analytics Vidhya

FEBRUARY 2, 2023

Introduction Data analytics solutions collect, process, and analyze data to extract insights and make informed business decisions. The need for a data analytics solution arises from the increasing amount of data organizations generate and the need to extract value from that data.

Analytics 301

Analytics Analytics Data Visualization Data Analysis 301

Analytics Vidhya

FEBRUARY 17, 2023

Introduction Are you curious about the latest advancements in the data tech industry? Perhaps you’re hoping to advance your career or transition into this field. In that case, we invite you to check out DataHour, a series of webinars led by experts in the field.

Analytics 319

Analytics Analytics Data Pipeline Data Warehouse 319

Data Science Connect

JULY 28, 2023

Edge AI for Real-Time Decision-Making Edge AI brings AI processing capabilities to IoT devices at the network edge, reducing latency and empowering IoT devices to make real-time decisions without relying on cloud computing.

Internet of Things 130

Internet of Things Data Engineering Data Engineer Data Engineering 130

Smart Data Collective

JUNE 4, 2021

Basic knowledge of statistics is essential for data science. Statistics is broadly categorized into two types – Descriptive statistics – Descriptive statistics is describing the data. Visual graphs are the core of descriptive statistics. Use cases of data science.

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

Dataconomy

JULY 14, 2023

Wireless networks are often used in M2M applications because they allow devices to communicate without being connected to a wired network Cloud computing : Cloud computing is used to store and process data that is collected from M2M devices.

Cloud Computing 91

Cloud Computing Machine Learning Machine Learning Internet of Things 91

Pickl AI

JULY 30, 2024

It is useful for visualising complex data and identifying patterns and trends. Cloud Computing Cloud computing involves using remote servers to store and process large datasets. Google Cloud Google Cloud is a cloud computing platform that provides a range of services, including storage, computing, and analytics.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Power BI 52

Pickl AI

JANUARY 30, 2023

Data Visualization: Use libraries such as Matplotlib, Seaborn, Plotly, etc., to visualize and understand data and model performance. Python helps in this process. Model Development: Use libraries such as TensorFlow, Keras, PyTorch, scikit-learn, etc., to build and implement Machine Learning models.

Python 97

Python Machine Learning Machine Learning Data Science 97

IBM Journey to AI blog

JUNE 5, 2024

SaaS takes advantage of cloud computing infrastructure and economies of scale to provide clients a more streamlined approach to adopting, using and paying for software. However, SaaS architectures can easily overwhelm DevOps teams with data aggregation, sorting and analysis tasks.

Analytics 94

Analytics Analytics AI AI 94

Smart Data Collective

SEPTEMBER 27, 2022

Gocious is an example of a tech start-up using the cloud to deliver specific application functionality. We’ve created Product Roadmap Management software to help manufacturers become more agile with clear data visualizations and unique competitive analysis features.

Data Silos 134

Data Silos Internet of Things Data Visualization Analytics 134

Mlearning.ai

MAY 23, 2023

A good course to upskill in this area is — Machine Learning Specialization Data Visualization The ability to effectively communicate insights through data visualization is important. Check out this course to upskill on Apache Spark —  [link] Cloud Computing technologies such as AWS, GCP, Azure will also be a plus.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Alation

JULY 13, 2021

We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment. Accompanying this acceleration is the increasing complexity of data.

Cloud Data 52

Cloud Data Data Governance Data Warehouse Data Mining 52

AWS Machine Learning Blog

JULY 10, 2024

Agents can also now interpret code to tackle complex data-driven use cases, such as data analysis, data visualization, text processing, solving equations, and optimization problems. This is part of our broader commitment to provide free cloud computing skills training to 29 million people worldwide by 2025.

AWS 137

AWS AI AI Machine Learning 137

ODSC - Open Data Science

OCTOBER 11, 2024

With an increased adoption rate in tools like AI, big data, and cloud computing, this will create an estimated 97 million new jobs. While AI can provide valuable data on skill gaps, translating the information into actionable strategies is key.

AI 52

AI AI Natural Language Processing Cloud Computing 52

Pickl AI

DECEMBER 4, 2024

Currently, organisations across sectors are leveraging Data Science to improve customer experiences, streamline operations, and drive strategic initiatives. A key aspect of this evolution is the increased adoption of cloud computing, which allows businesses to store and process vast amounts of data efficiently.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

IBM Journey to AI blog

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

JANUARY 13, 2025

They employ statistical methods and machine learning techniques to interpret data. Key Skills Expertise in statistical analysis and data visualization tools. Data Analyst Data Analysts gather and interpret data to help organisations make informed decisions. Salary Range: 6,00,000 – 18,00,000 per annum.

AI 52

AI AI Machine Learning Machine Learning 52

Dataconomy

MAY 2, 2023

Familiarity with machine learning frameworks, data structures, and algorithms is also essential. Additionally, expertise in big data technologies, database management systems, cloud computing platforms, problem-solving, critical thinking, and collaboration is necessary. R is especially popular in academia and research.

ML 110

ML ML Machine Learning Machine Learning 110

Alation

JANUARY 17, 2023

These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? The rise of cloud computing and cloud data warehousing has catalyzed the growth of the modern data stack.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

phData

MAY 25, 2023

Two of the platforms that we see emerging as a popular combination of data warehousing and business intelligence are the Snowflake Data Cloud and Power BI. Having gone public in 2020 with the largest tech IPO in history, Snowflake continues to grow rapidly as organizations move to the cloud for their data warehousing needs.

Power BI 84

Power BI Analytics Analytics Azure 84

ODSC - Open Data Science

JANUARY 6, 2025

Bill Shander, LinkedIn Learning Instructor and Founder of BeehiveMedia Bill is an information designer who helps clients turn their data into compelling visual and interactive experiences, with clients including the World Bank, United Nations, Starbucks, PwC, MIT, and multiple U.S. Government agencies.

Machine Learning 52

Machine Learning Machine Learning Data Science AI 52

Pickl AI

JANUARY 17, 2023

These skills should include both soft skills and hard skills.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

DrivenData Labs

DECEMBER 11, 2024

One unavoidable observation from the past ten years is that the pace of technological innovation, especially in data and AI, has been dizzying. The startup cost is now lower to deploy everything from a GPU-enabled virtual machine for a one-off experiment to a scalable cluster for real-time model execution.

Data Science 147

Data Science Data Scientist Machine Learning Machine Learning 147

Pickl AI

SEPTEMBER 12, 2023

Data Analyst: Data Analysts work with data to extract meaningful insights and support decision-making processes. They gather, clean, analyze, and visualize data using tools like Excel, SQL, and data visualization software. Why Pursue a Course in Data Science?

Data Science 52

Data Science Data Analyst Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 5, 2024

By leveraging Azure’s capabilities, you can gain the skills and experience needed to excel in this dynamic field and contribute to cutting-edge data solutions. Microsoft Azure, often referred to as Azure, is a robust cloud computing platform developed by Microsoft. What is Azure?

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Pickl AI

OCTOBER 3, 2024

Data Visualization Many AI assistants offer visualisation tools that help present complex data in an understandable format. Real-time Collaboration With advancements in cloud computing and AI, future research assistants may facilitate real-time collaboration among researchers across the globe.

AI 52

AI AI Natural Language Processing Machine Learning 52

ODSC - Open Data Science

APRIL 3, 2025

Their machine learning-powered analytics platform delivers actionable insights, making data-driven decision-making faster and more efficient. Google Cloud A key player in AI and cloud computing, Google Cloud provides industry-leading tools for AI model training, deployment, and management.

Machine Learning 52

Machine Learning Machine Learning Data Science AI 52

AWS Machine Learning Blog

NOVEMBER 18, 2024

He joined Merck Research Laboratories in 2018, where his focus has been on applying data science methods for observational studies in healthcare. Varun Kumar Nomula is Principal AI/ML Engineer consultant for MSD, specializing in Generative AI, Cloud computing, and Data Science.

SQL 101

SQL Database AWS AI 101