Data Science Dojo

MAY 10, 2023

Salary Trends – The average salary for data scientists ranges from $100,000 to $150,000 per year, with senior-level positions earning even higher salaries. Data Analyst Data analysts are responsible for collecting, analyzing, and interpreting large sets of data to identify patterns and trends.

Data Science 368

Data Science Database Administration Data Scientist Machine Learning 368

Data Science Dojo

JANUARY 13, 2023

The conference is organized by Gartner, a leading research and advisory company, and is focused on the latest trends, strategies, and technologies in data and analytics. It is the only sponsor-free, vendor-free, and recruiter-free data science conference℠. Enroll yourself in Data Science Bootcamp to grow your career 7.

Data Science 284

Data Science Data Mining Data Mining Data Mining 284

ODSC - Open Data Science

APRIL 3, 2023

We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023. Excel is the second most sought-after tool in our chart as you’ll see below as it’s still an industry standard for data management and analytics.

Analytics 52

Analytics Analytics Data Analyst SQL 52

Pickl AI

AUGUST 1, 2023

Future directions in text mining include improving language understanding with the help of deep learning models, developing better techniques for multilingual text analysis, and integrating text mining with other domains like image and video analysis. Can text mining handle multiple languages?

Data Analysis 52

Data Analysis Data Analysis Python Support Vector Machines 52

Smart Data Collective

DECEMBER 19, 2021

Therefore, if you don’t preprocess the data before applying it in the machine learning or AI algorithms, you are most likely to get wrong, delayed, or no results at all. Hence, data preprocessing is essential and required. Python as a Data Processing Technology. Why Choosing Python Over Other Technologies in FinTech?

Python 135

Python Machine Learning Machine Learning Algorithm 135

IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 84

Data Science Analytics Analytics Data Scientist 84

Dataconomy

MARCH 24, 2023

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

IBM Journey to AI blog

JULY 6, 2023

Machine learning can then “learn” from the data to create insights that improve performance or inform predictions. Just as humans can learn through experience rather than merely following instructions, machines can learn by applying tools to data analysis.

Machine Learning 59

Machine Learning Machine Learning Data Science Big Data 59

Pickl AI

MARCH 3, 2023

Accordingly, with the help of Descriptive Statistics, it is possible to make large datasets presentable and eliminates major complexities for Data Analysts to analyse the data. The format of the summarised data can be quantitative or visual.

Exploratory Data Analysis 40

Exploratory Data Analysis Hypothesis Testing Data Analyst Data Scientist 40

Pickl AI

JUNE 7, 2023

Analysing Netflix Movies and TV Shows One of the most enticing real-world Data Science projects Github can include the project focusing to analyse Netflix movies and TV shows. Using Netflix user data, you need to undertake Data Analysis for running workflows like EDA, Data Visualisation and interpretation.

Data Science 52

Data Science Deep Learning Deep Learning Clustering 52

Pickl AI

APRIL 18, 2023

With the growing use of connected devices, the volumes of data we will create will be even more. Hence, the relevance of Data Analysis increases. Here comes the role of qualified and skilled data professionals. For example, you can use standard job titles like Data Scientist, Data Analyst or Machine Learning engineer.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

Pickl AI

JUNE 25, 2023

The latter is the practice of using statistical techniques, data mining, predictive modelling, and Machine Learning algorithms to analyze past and present data. No, business analytics and data science are not the same. Although both involve data analysis, there is a line of difference.

Analytics 52

Analytics Analytics Predictive Analytics Machine Learning 52

Pickl AI

JULY 18, 2023

While it may not be a traditional programming language, SQL plays a crucial role in Data Science by enabling efficient querying and extraction of data from databases. SQL’s powerful functionalities help in extracting and transforming data from various sources, thus helping in accurate data analysis.

Data Science 52

Data Science SQL Data Scientist Apache Hadoop 52

Mlearning.ai

JUNE 27, 2023

Originally used in Data Mining, clustering can also serve as a crucial preprocessing step in various Machine Learning algorithms. By effectively handling outliers and enhancing cluster quality, K-Means++ becomes the preferred choice for many data analysis tasks, enabling improved decision-making and actionable insights.

Clustering 52

Clustering Algorithm Data Analyst Machine Learning 52

Mlearning.ai

MAY 23, 2023

Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. Data processing does the task of exploring the data, mining it, and analyzing it which can be finally used to generate the summary of the insights extracted from the data.

Data Science 52

Data Science Decision Trees Deep Learning Deep Learning 52