Pickl AI

JULY 20, 2023

Descriptive Analytics Projects: These projects focus on summarizing historical data to gain insights into past trends and patterns. Examples include generating reports, dashboards, and data visualizations to understand business performance, customer behavior, or operational efficiency.

Analytics 40

Analytics Analytics Big Data Big Data 40

Pickl AI

JULY 18, 2023

It is popular for its powerful data visualization and analysis capabilities. Hence, Data Scientists rely on R to perform complex statistical operations. With a wide array of packages like ggplot2 and dplyr, R allows for sophisticated data visualization and efficient data manipulation. Wrapping it up !!!

Data Science 52

Data Science SQL Data Scientist Apache Hadoop 52

ODSC - Open Data Science

JANUARY 26, 2024

It will also feature even more hands-on training sessions, expert-led workshops, and tutorials on topics like machine learning, NLP and LLMs, data engineering, big data analytics, MLOps, generative AI, and more for our in-person attendees.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

DataRobot Blog

JUNE 25, 2018

As data continues to grow and exceed current BI and analytics system capabilities, more organizations are adopting big data analytics solutions. by Jen Underwood. Please join me and Wendy Gradek from AtScale in a. Read More.

Analytics 40

Analytics Analytics Big Data Analytics Big Data Analytics 40

AWS Machine Learning Blog

DECEMBER 7, 2023

He worked at Turkcell, mainly focused on time series forecasting, data visualization, and network automation. He joined Getir in 2021 and currently works as a Data Science & Analytics Manager with the responsibility of Search, Recommendation, and Growth domains.

AWS 95

AWS Algorithm Machine Learning Machine Learning 95

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 56

Machine Learning Machine Learning Data Science Big Data 56

Pickl AI

MARCH 26, 2023

Knowledge of big data analytics tools will be helpful Work with different types of data like structures, semi-structured and unstructured They should also understand how organizations use the techniques of Data Science to make decisions Who is a Data Scientist?

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Data Science Dojo

JANUARY 31, 2023

To avoid such consequences, it’s important to be mindful of the information we share online. Visualization With a new data visualization tool being released every month or so, visualizing data is key to insightful results.

Big Data 370

Big Data Big Data Data Mining Data Mining 370

Pickl AI

JANUARY 16, 2024

Join me in understanding the pivotal role of Data Analysts , where learning is not just an option but a necessity for success. Key takeaways Develop proficiency in Data Visualization, Statistical Analysis, Programming Languages (Python, R), Machine Learning, and Database Management. Value in 2022 – $271.83

Data Analyst 52

Data Analyst Data Analysis Data Analysis Analytics 52

Pickl AI

JANUARY 12, 2023

These include the following: Introduction to Data Science Introduction to Python SQL for Data Analysis Statistics Data Visualization with Tableau 5. Data Science Program for working professionals by Pickl.AI Another popular Data Science course for working professionals is offered by Pickl.AI.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Smart Data Collective

APRIL 2, 2019

Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation. There were a lot of promises made about Big Data that fell at the feet of data scientists to make happen.

Data Lakes 83

Data Lakes Big Data Big Data Data Scientist 83

Mlearning.ai

AUGUST 18, 2023

Data science in healthcare allows physicians to access patients’ health data, see the change over time, and tweak the treatment plan if something goes wrong. Utilizing big data analytics allows medical professionals to take advantage of historical information and get valuable insights.

Data Science 52

Data Science Data Scientist Internet of Things Apache Hadoop 52

Mlearning.ai

JANUARY 26, 2023

Presenters and participants had the opportunity to hear about and evaluate the pros and cons of different back end technologies and data formats for different uses such as web-mapping, data visualization, and the sharing of meta-data.

AWS 98

AWS Database Clean Data Data Science 98

AWS Machine Learning Blog

DECEMBER 4, 2023

He worked at Turkcell, mainly focused on time series forecasting, data visualization, and network automation. He joined Getir in 2021 and currently works as a Data Science & Analytics Manager with the responsibility of Search, Recommendation, and Growth domains.

AWS 91

AWS ML ML Predictive Analytics 91

Smart Data Collective

APRIL 15, 2019

They all rely on sophisticated big data analytics systems. First, we have EmailAnalytics , which can be thought of like Google Analytics for Gmail. This tool integrates with your Gmail or G Suite account and visualizes your email activities into charts, graphs, and tables. EmailAnalytics.

Big Data 71

Big Data Big Data Data Visualization Big Data Analytics 71

AWS Machine Learning Blog

MAY 15, 2023

He worked at Turkcell, mainly focused on time series forecasting, data visualization, and network automation. He joined Getir in 2021 and currently works as a Lead Data Scientist with the responsibility of Search & Recommendation Engine and Customer Behavior Models.

Algorithm 67

Algorithm Data Scientist AWS Machine Learning 67

Smart Data Collective

OCTOBER 13, 2021

There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. We would like to talk about data visualization and its role in the big data movement. Data is useless without the opportunity to visualize what we are looking for.

Data Visualization 135

Data Visualization Big Data Big Data Predictive Analytics 135

Flipboard

MARCH 22, 2023

Create a new data flow To create your data flow, complete the following steps: On the SageMaker console, choose Amazon SageMaker Studio in the navigation pane. On the Studio Home page, choose Import & prepare data visually. Alternatively, on the File drop-down, choose New , then choose SageMaker Data Wrangler Flow.

AWS 100

AWS Data Preparation Azure ML 100

Pickl AI

JULY 10, 2023

Packages like stats, car, and survival are commonly used for statistical modeling and analysis. · Data Visualization : R offers several libraries, including ggplot2, plotly, and lattice, that allow for the creation of high-quality visualizations.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

AWS Machine Learning Blog

AUGUST 21, 2023

In your SageMaker Studio environment, create an Amazon SageMaker Data Wrangler flow, and choose Import & prepare data visually. Alternatively, on the File menu, choose New , then choose Data Wrangler flow. We discuss these steps to create a data flow in detail later in this post. Choose Open Studio.

AWS 81

AWS Data Lakes Clustering Data Preparation 81

Smart Data Collective

DECEMBER 13, 2022

However, computerization in the digital age creates massive volumes of data, which has resulted in the formation of several industries, all of which rely on data and its ever-increasing relevance. Technology is quickly becoming a critical component of our existence.

Data Analysis 135

Data Analysis Data Analysis Analytics Analytics 135

AWS Machine Learning Blog

MARCH 10, 2023

Create a new data flow To create your data flow, complete the following steps: On the SageMaker console, click Domains , then click on StudioDomain created by running above CloudFormation template. In the Studio Home console, choose Import & prepare data visually. Select studio-user user profile and launch Studio.

Clustering 75

Clustering AWS ML ML 75