Analytics Vidhya

FEBRUARY 24, 2021

ArticleVideo Book Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry Ready Data Science Professional appeared first on Analytics Vidhya.

Data Science 378

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 378

ODSC - Open Data Science

FEBRUARY 2, 2023

Analytics and Data Analysis Coming in as the 4th most sought-after skill is data analytics, as many data scientists will be expected to do some analysis in their careers. This doesn’t mean anything too complicated, but could range from basic Excel work to more advanced reporting to be used for data visualization later on.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

Analytics Vidhya

NOVEMBER 6, 2020

Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry-Ready Data Science Professional appeared first on Analytics Vidhya.

Data Science 264

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 264

ODSC - Open Data Science

APRIL 6, 2023

This allows for it to be integrated with many different tools and technologies to improve data management and analysis workflows. One set of tools that are becoming more important in our data-driven world is BI tools. Think of Tableau, Power BI, and QlikView.

SQL 98

SQL Data Scientist Database Data Science 98

ODSC - Open Data Science

APRIL 3, 2023

As you’ll see below, however, a growing number of data analytics platforms, skills, and frameworks have altered the traditional view of what a data analyst is. Data Presentation: Communication Skills, Data Visualization Any good data analyst can go beyond just number crunching.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Pickl AI

JULY 25, 2023

Proficient in programming languages like Python or R, data manipulation libraries like Pandas, and machine learning frameworks like TensorFlow and Scikit-learn, data scientists uncover patterns and trends through statistical analysis and data visualization. Big Data Technologies: Hadoop, Spark, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

SEPTEMBER 25, 2023

R R is another powerful language for Data Analysis and Statistics. It has a dedicated community and numerous packages like ggplot2 for Data Visualization. Understanding Data Visualization Data visualization is a critical aspect of Data Science.

Data Science 52

Data Science Data Analysis Data Analysis Data Visualization 52

ODSC - Open Data Science

JANUARY 7, 2025

Machine Learning As machine learning is one of the most notable disciplines under data science, most employers are looking to build a team to work on ML fundamentals like algorithms, automation, and so on. Deep Learning Deep learning is a cornerstone of modern AI, and its applications are expanding rapidly.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Heartbeat

OCTOBER 13, 2023

Machine learning techniques are commonly used, such as ARIMA (AutoRegressive Integrated Moving Average), exponential smoothing, and deep learning models. Anomaly Detection: Time series analysis helps identify unusual events or anomalies in the data. It provides functions for trend analysis and charting.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Pickl AI

APRIL 18, 2023

Thus, it focuses on providing all the fundamental concepts of Data Science and light concepts of Machine Learning, Artificial Intelligence, programming languages and others. Usually, a Data Science course comprises topics on statistical analysis, data visualization, data mining and data preprocessing.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

Pickl AI

APRIL 2, 2024

Unsupervised Learning: Finding patterns or insights from unlabeled data. Deep Learning: Neural networks with multiple layers used for complex pattern recognition tasks. Tools and Technologies Python/R: Popular programming languages for data analysis and machine learning.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Pickl AI

JANUARY 17, 2023

These should include in terms of programming languages whereby you could learn Python and R at the advanced level. You should also develop your skills through data visualisation using Tableau, PowerBI and Excel. This would help you create charts and graphs and interpret data in a visual format.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Pickl AI

AUGUST 9, 2024

Unsupervised Learning Exploring clustering techniques like k-means and hierarchical clustering, along with dimensionality reduction methods such as PCA (Principal Component Analysis). Students should understand how to identify patterns in unlabeled data. Students should learn about neural networks and their architecture.

Big Data 52

Big Data Big Data Big Data Analytics Big Data 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

Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

DECEMBER 4, 2023

Technologies, tools, and methodologies Imagine Data Intelligence as a toolbox filled with gadgets for every analytical need. From powerful analytics software to Machine Learning algorithms, these tools transform data into actionable intelligence. 9,43,649 Business acumen, Data Visualisation tools (e.g.,

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Pickl AI

MARCH 7, 2025

Before we dig deeper into this topic and understand some of the key data facts, it is important to know that the technology is a broader spectrum, there are several other technologies that fall under its umbrella. It includes AI, Deep Learning, Machine Learning and more.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

Mlearning.ai

AUGUST 18, 2023

However, data scientists in healthcare have employed deep learning technologies to enable easier analysis. For example, deep learning algorithms have already shown impressive results in detecting 26 skin conditions on par with certified dermatologists.

Data Science 52

Data Science Data Scientist Internet of Things Apache Hadoop 52

ODSC - Open Data Science

MARCH 12, 2025

20212024: Interest declined as deep learning and pre-trained models took over, automating many tasks previously handled by classical ML techniques. While traditional machine learning remains fundamental, its dominance has waned in the face of deep learning and automated machine learning (AutoML).

Data Science 52

Data Science Machine Learning Machine Learning Data Engineering 52