Dataconomy

MAY 16, 2025

This includes the application of sophisticated algorithms and statistical analyses aimed at gleaning insights that are actionable and predictive in nature. Open source tools Many data scientists utilize cost-effective, community-supported options like Hadoop and Spark to carry out their analyses.

Analytics 91

Analytics Analytics Big Data Analytics Big Data Analytics 91

Dataconomy

JULY 24, 2023

Concepts such as linear algebra, calculus, probability, and statistical theory are the backbone of many data science algorithms and techniques. Coding skills are essential for tasks such as data cleaning, analysis, visualization, and implementing machine learning algorithms. This is where data visualization comes in.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

IBM Journey to AI blog

SEPTEMBER 19, 2023

Many functions of data analytics—such as making predictions—are built on machine learning algorithms and models that are developed by data scientists. And you should have experience working with big data platforms such as Hadoop or Apache Spark. Those who work in the field of data science are known as data scientists.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Data Science Dojo

JULY 3, 2024

Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught. Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Tools and frameworks like Scikit-Learn, TensorFlow, and Keras are often covered.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

DECEMBER 2, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. For example, financial institutions utilise high-frequency trading algorithms that analyse market data in milliseconds to make investment decisions. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. For example, financial institutions utilise high-frequency trading algorithms that analyse market data in milliseconds to make investment decisions. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

AUGUST 9, 2024

Some of the most notable technologies include: Hadoop An open-source framework that allows for distributed storage and processing of large datasets across clusters of computers. It is built on the Hadoop Distributed File System (HDFS) and utilises MapReduce for data processing. Once data is collected, it needs to be stored efficiently.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. Data Visualization: Matplotlib, Seaborn, Tableau, etc. Big Data Technologies: Hadoop, Spark, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

JANUARY 13, 2025

Machine Learning Engineer Machine Learning Engineers develop algorithms and models that enable machines to learn from data. Strong understanding of data preprocessing and algorithm development. They explore new algorithms and techniques to improve machine learning models. Strong knowledge of AI algorithms and architectures.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

MAY 29, 2024

These skills encompass proficiency in programming languages, data manipulation, and applying Machine Learning Algorithms , all essential for extracting meaningful insights and making data-driven decisions. Machine Learning Algorithms Understanding and implementing Machine Learning Algorithms is a core requirement.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

DataSeries

AUGUST 15, 2024

Knowledge of Core Data Engineering Concepts Ensure one possess a strong foundation in core data engineering concepts, which include data structures, algorithms, database management systems, data modeling , data warehousing , ETL (Extract, Transform, Load) processes, and distributed computing frameworks (e.g., Hadoop, Spark).

Data Engineering 40

Data Engineering Data Engineering Data Engineer Data Engineering 40

Pickl AI

DECEMBER 4, 2024

The field has evolved significantly from traditional statistical analysis to include sophisticated Machine Learning algorithms and Big Data technologies. Issues such as algorithmic bias, data privacy, and transparency are becoming critical topics of discussion within the industry.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

DECEMBER 26, 2024

Role of Analytics Tools in Big Data Analytics tools like Hadoop , Tableau , and predictive platforms make Big Data manageable. Hadoop excels in processing large datasets, and Tableau transforms raw data into visual insights, and predictive platforms forecast customer behaviour to guide marketing strategies.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Alation

FEBRUARY 13, 2020

This meant a large Hadoop deployment, self-service analytics tools available to every employee with Tableau, and a data catalog from Alation. A team of data stewards certify reports and dashboards for accuracy and publish Unified Data Sets to all employees for use in tools like Tableau. We are able to think differently.”.

Decision Science 59

Decision Science Analytics Analytics Data Science 59

Pickl AI

FEBRUARY 28, 2023

Further, Data Scientists are also responsible for using machine learning algorithms to identify patterns and trends, make predictions, and solve business problems. At length, use Hadoop, Spark, and tools like Pig and Hive to develop big data infrastructures. Effectively, they analyse, interpret, and model complex data sets.

Data Analyst 52

Data Analyst Data Scientist Data Science Computer Science 52

Pickl AI

JULY 24, 2023

Data science is an interdisciplinary field that combines scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. They employ advanced statistical modeling techniques, machine learning algorithms, and data visualization tools to derive meaningful insights.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

ODSC - Open Data Science

JANUARY 7, 2025

Just as a writer needs to know core skills like sentence structure and grammar, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and soon. Hadoop, though less common in new projects, is still crucial for batch processing and distributed storage in large-scale environments.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Pickl AI

MARCH 10, 2023

Furthermore, it ensures that data is consistent while effectively increasing the readability of the data’s algorithm. Using machine learning algorithms, data from these sources can be effectively controlled and further improve the utilisation of the data. This can help companies to access information quickly and faster than usual.

Data Scientist 52

Data Scientist Data Science Apache Hadoop Machine Learning 52

Pickl AI

APRIL 28, 2023

Here is the tabular representation of the same: Technical Skills Non-technical Skills Programming Languages: Python, SQL, R Good written and oral communication Data Analysis: Pandas, Matplotlib, Numpy, Seaborn Ability to work in a team ML Algorithms: Regression Classification, Decision Trees, Regression Analysis Problem-solving capability Big Data: (..)

Data Scientist 52

Data Scientist Data Science Hypothesis Testing Decision Trees 52

ODSC - Open Data Science

APRIL 26, 2023

Because they are the most likely to communicate data insights, they’ll also need to know SQL, and visualization tools such as Power BI and Tableau as well. Some of the tools and techniques unique to business analysts are pivot tables, financial modeling in Excel, Power BI Dashboards for forecasting, and Tableau for similar purposes.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

Pickl AI

JULY 10, 2023

Packages like caret, random Forest, glmnet, and xgboost offer implementations of various machine learning algorithms, including classification, regression, clustering, and dimensionality reduction. Packages like dplyr, data.table, and sparklyr enable efficient data processing on big data platforms such as Apache Hadoop and Apache Spark.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

JANUARY 28, 2025

The company employs advanced algorithms and BI tools to analyse vast amounts of data generated from user interactions across its platforms. By consolidating data from over 10,000 locations and multiple websites into a single Hadoop cluster, Walmart can analyse customer purchasing trends and optimize inventory management.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

Pickl AI

APRIL 18, 2023

Hence a curriculum that focuses on nurturing industry-relevant skills like Machine Learning algorithms, data visualization, building dashboards, data interpretation and presentation will help you land a better-paying job. Today the application of Data Science is not limited to just one industry. It finds multidisciplinary applications.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

Pickl AI

MAY 31, 2023

Begin by employing algorithms for supervised learning such as linear regression , logistic regression, decision trees, and support vector machines. To obtain practical expertise, run the algorithms on datasets. After that, move towards unsupervised learning methods like clustering and dimensionality reduction.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Pickl AI

APRIL 2, 2024

Predictive Analytics: Forecasting future outcomes based on historical data and statistical algorithms. Tableau/Power BI: Visualization tools for creating interactive and informative data visualizations. Hadoop/Spark: Frameworks for distributed storage and processing of big data.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Mlearning.ai

AUGUST 18, 2023

The implementation of machine learning algorithms enables the prediction of drug performance and side effects. For example, deep learning algorithms have already shown impressive results in detecting 26 skin conditions on par with certified dermatologists. Such programs detect even microscopic abnormalities through image segmentation.

Data Science 52

Data Science Data Scientist Internet of Things Apache Hadoop 52

Pickl AI

FEBRUARY 23, 2025

These tools leverage advanced algorithms and methodologies to process large datasets, uncovering valuable insights that can drive strategic decision-making. Best Big Data Tools Popular tools such as Apache Hadoop, Apache Spark, Apache Kafka, and Apache Storm enable businesses to store, process, and analyse data efficiently.

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52