datapine

MARCH 31, 2022

Many solutions require the use of different programming languages to perform advanced analysis such as R, Python, Javascript, just to name a few, and knowing them can significantly enhance your skillset. Technical notion: Our next BI skill is not fundamental, but it can certainly make you a more complete and prepared professional.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

FineReport

MARCH 9, 2023

They are also often used internally by management to track progress against long-term goals or budget expectations. To help you out, here are some fundamental tips on how to write an effective quarterly report. While Python and Excel are commonly used tools for this purpose, the learning curve for new users can be steep.

Reporting 52

Reporting Visualization KPI Sales 52

CIO Business Intelligence

OCTOBER 27, 2023

Exam fee : $149 per exam AWS Certified Cloud Practitioner (CCP) The AWS Certified Cloud Practitioner exam offered by Amazon is an entry-level cloud certification that covers the fundamentals of IT services and how they are used in the AWS cloud platform. You’ll need to take the course Supporting Cisco Data Center System Devices (DCTECH) v2.0

IT 133

IT Consulting Software Management 133

FineReport

JANUARY 5, 2022

They have mastered the fundamentals of the report and system and are unsure of how much further progress they can make. Therefore, using R, Python, and other data analysis languages, referred to as the chart function package, present visual data and analysis. Understand data and operation. In addition, E-charts, HighCharts, D3.js,

Reporting 52

Reporting Analytics Visualization Dashboards 52

O'Reilly on Data

OCTOBER 19, 2021

In this article, we want to dig deeper into the fundamentals of machine learning as an engineering discipline and outline answers to key questions: Why does ML need special treatment in the first place? If you peek under the hood of an ML-powered application, these days you will often find a repository of Python code.

IT 346

IT Testing Experimentation Software 346

The Unofficial Google Data Science Blog

AUGUST 31, 2016

While MapReduce remains a fundamental tool, many interesting analyses require more than it can offer. Thus it is easy to use Spark for interactive analysis (from a python or scala shell) and to prototype ML algorithms but harder to do so in Dataflow. Thus the ability to manipulate big data is essential to our notion of data science.

Data Science 66

Data Science Sales Optimization Cost-Benefit 66

Smart Data Collective

SEPTEMBER 9, 2019

The majority of machine learning and deep learning solutions have focused on fundamental analysis of securities. The skepticism of many fundamental analysts is not proof that technical analysis is invalid. However, it is a very different skill from fundamental investment analysis.

Deep Learning 65

Deep Learning Forecasting Machine Learning Strategy 65

Domino Data Lab

FEBRUARY 4, 2019

We’ve been putting together the keynotes and tracks for Rev 2 and I’m super excited about what’s in store. We’ll have a Leadership track, a Practitioner track, plus AMAs (“ask me anything” with notable experts) and industry poster sessions. Strata SF , Mar 25–29 in SF – including a new Jupyter track.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

MAY 8, 2019

Keep in mind that data science is fundamentally interdisciplinary. There’s a joke going around the interwebs, attributed to Mat Velloso: If it is written in Python, it’s probably machine learning. OSCON , Jul 15-18 in Portland: CFP is open for the “ AI Ops: Development meets Data Science ” track which I’ll be hosting on Jul 16.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105