Smart Data Collective

OCTOBER 6, 2023

There are a number of huge benefits of using data analytics to identify seasonal trends. Data Analyst Solomon Nyamson wrote an article on Linkedin pointing out that predictive analytics tools like Sarima have made it easier than ever to forecast retail sales due to seasonal changes.

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Data Science Dojo

AUGUST 15, 2023

If you want to get started with Data Science as a career, get yourself enrolled in Data Science Dojo’s Data Science Bootcamp.

Data Scientist 195

Data Scientist Data Science Industrial Data Scientist Data Analyst 195

Smart Data Collective

NOVEMBER 25, 2019

In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences. AI-Powered Big Data Technology. Predictive analytics is the use of data and AI-powered algorithms to help analysts forecast the future and better predict business outcomes.

Business Intelligence 132

Business Intelligence Business Intelligence Predictive Analytics Natural Language Processing 132

Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. For example, predictive analytics can be used in financial institutions to predict customer default rates or in e-commerce to forecast product demand.

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Dataconomy

DECEMBER 17, 2024

This blog post explores effective strategies for gathering requirements in your data project. Whether you are a data analyst , project manager, or data engineer, these approaches will help you clarify needs, engage stakeholders, and ensure requirements gathering techniques to create a roadmap for success.

Data Quality 91

Data Quality Power BI Data Engineering Data Engineer 91

Smart Data Collective

AUGUST 27, 2023

The Future of Football Analysis Predictive Analytics The next frontier in football analysis is predictive analytics. By crunching vast amounts of historical and real-time data, analysts can predict player fatigue, injury risks, and even game outcomes.

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Smart Data Collective

MAY 20, 2019

What skills should business analysts be focused on developing? For quite some time, the data analyst and scientist roles have been universal in nature. The more direct experience and talent an analyst has with automation technology, the more desirable they will be. What will our digital future look like?

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Analytics Analytics Data Analyst Machine Learning 111

IBM Journey to AI blog

SEPTEMBER 19, 2023

Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics. The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets.

Data Science 94

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Smart Data Collective

OCTOBER 20, 2020

Some of these were addressed in the Data Driven Summit 2018. Benefits include: Using data analytics to better identify your target audience Developing a stronger competitive advantage Forecasting trends with predictive analytics to anticipate future market demand. There is no need to hire expensive data analysts.

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Smart Data Collective

JANUARY 27, 2022

What Fields Are Growing the Fastest as the Result of Advances in Big Data. Analysts predict global technologization trends for the following decade. Big Data Analyst. This will help you stay up to date with the necessary skills and project the future demand for your profession. Robotic Engineer.

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Smart Data Collective

SEPTEMBER 15, 2019

About the way that big data is revolutionizing the industry. Ankit Desai, the founder of Snafu Records, was a head data analyst for a major Swedish university before entering the music industry. Desai said that big data is going to play a much bigger role in the industry in the years to come.

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Data Science Dojo

SEPTEMBER 5, 2024

Artificial Intelligence (AI) and Machine Learning : Develop models that can learn from data and make autonomous decisions. Big Data Analysis : Processes and analyzes large datasets to extract meaningful insights. Healthcare : Improves patient outcomes through predictive analytics and personalized medicine.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Data Science Dojo

SEPTEMBER 5, 2024

Artificial Intelligence (AI) and Machine Learning : Develop models that can learn from data and make autonomous decisions. Big Data Analysis : Processes and analyzes large datasets to extract meaningful insights. Healthcare : Improves patient outcomes through predictive analytics and personalized medicine.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Dataconomy

SEPTEMBER 16, 2024

It was designed to retrieve and manage data stored in relational databases. This versatile programming language is widely used by database administrators, developers, and data analysts. Whether you’re working with MySQL, SQL Server, or another DBMS, mastering this language allows seamless data manipulation and retrieval.

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SQL Database Data Analyst Database Administration 103

Tableau

JANUARY 25, 2024

Kristin Adderson January 25, 2024 - 11:21pm Harveen Kathuria Senior Director, Product Management Tableau has been on the journey to help people see and understand their data for over two decades. Thanks to data analysts, this mission has been a success and will continue to be a success.

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Tableau Data Analyst AI AI 72

Data Science Dojo

APRIL 18, 2024

It also focuses on ensuring efficiency and data protection for developers working with large language models. Hence, it is a valuable tool for researchers, data analysts, and anyone who wants to unlock the knowledge hidden within vast amounts of textual data using LLMs.

Database 195

Database Natural Language Processing Predictive Analytics AI 195

Pickl AI

AUGUST 27, 2024

Summary: Python simplicity, extensive libraries like Pandas and Scikit-learn, and strong community support make it a powerhouse in Data Analysis. It excels in data cleaning, visualisation, statistical analysis, and Machine Learning, making it a must-know tool for Data Analysts and scientists.

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Pickl AI

FEBRUARY 19, 2025

Think of Data Science as the overarching umbrella, covering a wide range of tasks performed to find patterns in large datasets, while Data Analytics is a task that resides under the Data Science umbrella to query, interpret, and visualize datasets. For example, a weather app predicts rainfall using past climate data.

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Pickl AI

JUNE 4, 2024

By establishing a well-defined data collection and management strategy, organizations in the sustainable energy sector can harness the power of data to optimize energy production and consumption, drive efficiency improvements, and ultimately contribute to a cleaner energy future.

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Pickl AI

JUNE 25, 2023

This knowledge enables them to make data-backed decisions to address challenges and capitalize on opportunities. Predictive Analytics Predictive analytics involves the use of historical data, statistical algorithms, and machine learning techniques to forecast future outcomes or trends.

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Analytics Analytics Predictive Analytics Machine Learning 52

DataRobot Blog

MAY 6, 2018

It empowers data analysts and data scientists to rapidly find key insights, hidden data patterns and make better predictions faster. by Jen Underwood. DataRobot is the world’s most advanced automated machine learning platform. Read More.

Machine Learning 40

Machine Learning Machine Learning Data Analyst Data Scientist 40

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 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

JULY 23, 2023

Using the right data analytics techniques can help in extracting meaningful insight, and using the same to formulate strategies. The analytics techniques like descriptive analytics, predictive analytics, diagnostic analytics and others find application in diverse industries, including retail, healthcare, finance, and marketing.

Analytics 52

Analytics Analytics Predictive Analytics Data Analysis 52

Pickl AI

OCTOBER 18, 2023

Player Recruitment and Draft Analytics Evaluating potential draft picks or player acquisitions by analyzing their performance data and comparing it to team needs. Game Simulation and Predictive Analytics Using predictive models to forecast game outcomes, player performance, and even fantasy sports outcomes.

Analytics 52

Analytics Analytics Predictive Analytics Data Analysis 52

Pickl AI

DECEMBER 4, 2023

Implementing interoperable data platforms. Resource Allocation Improvement Optimises staff and resource allocation Balancing workload and resource availability Implementing predictive analytics for resource planning. 6,20000 Analytical skills, proficiency in Data Analysis tools (e.g.,

Data Analysis 52

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Pickl AI

FEBRUARY 21, 2023

It involves using statistical and computational techniques to identify patterns and trends in the data that are not readily apparent. Data mining is often used in conjunction with other data analytics techniques, such as machine learning and predictive analytics, to build models that can be used to make predictions and inform decision-making.

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Pickl AI

OCTOBER 17, 2024

Advantages Tableau’s intuitive interface lets users generate visualisations and quickly uncover data trends. The platform enables users to tell compelling stories with data, making it a favourite among Data Analysts and decision-makers.

Analytics 52

Analytics Analytics Power BI Tableau 52

Pickl AI

SEPTEMBER 24, 2024

Read More: Use of AI and Big Data Analytics to Manage Pandemics Overview of Uber’s Data Analytics Strategy Uber’s Data Analytics strategy is multifaceted, focusing on real-time data collection, predictive analytics, and Machine Learning.

Analytics 52

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Pickl AI

FEBRUARY 4, 2024

Alteryx’s Capabilities Data Blending: Effortlessly combine data from multiple sources. Predictive Analytics: Leverage machine learning algorithms for accurate predictions. This makes Alteryx an indispensable tool for businesses aiming to glean insights and steer their decisions based on robust data.

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Data Preparation Tableau Data Visualization SQL 52

Pickl AI

SEPTEMBER 7, 2023

By monitoring data access and identifying unusual patterns or potential breaches, financial institutions can strengthen their cybersecurity measures and protect sensitive customer information.

Analytics 52

Analytics Analytics Predictive Analytics Machine Learning 52

Pickl AI

JANUARY 9, 2025

Knowledge of data modelling, process automation, and predictive analytics further enhances an analyst’s ability to support decision-making and operational efficiency. Soft Skills While technical skills are critical, the ability to communicate complex data insights is equally vital.

Power BI 52

Power BI Machine Learning Machine Learning Tableau 52

Pickl AI

JULY 2, 2023

Spark’s in-memory processing capability enables high-speed data processing, making it suitable for real-time and batch-processing workloads. Scalability and Performance It also provides a cloud-based infrastructure that can handle large volumes of data. This saves time and increases performance.

Machine Learning 52

Machine Learning Machine Learning Big Data Big Data 52

Pickl AI

OCTOBER 18, 2023

– Predictive analytics to assess data quality issues before they become critical. Data Cleansing and Standardization – Automated data cleansing using AI algorithms to correct errors, remove duplicates, and standardize formats. – Natural Language Processing (NLP) for text data standardization. .

Data Quality 52

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Pickl AI

SEPTEMBER 23, 2024

Applications of Data Science Data Science is not confined to one sector; its applications span multiple industries, transforming organisations’ operations. From healthcare to marketing, Data Science drives innovation by providing critical insights.

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Pickl AI

JULY 3, 2023

Programming Languages: Proficiency in programming languages like Python or R is advantageous for performing advanced data analytics, implementing statistical models, and building data pipelines. Is BI developer same as data analyst?

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Pickl AI

JANUARY 29, 2024

Job Roles Data Scientist, Data Analyst , and Business Analyst are typical roles in Data Science. ML Engineer, Data Scientist, and Research Scientist are typical roles in Machine Learning. Opportunities Opportunities in Data Science are vast, spanning industries like healthcare, finance, and e-commerce.

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Pickl AI

JANUARY 31, 2024

Here are some of the key trends to observe in the Data Science domain: Data Scientist salary in India based on experience Experience Level Salary Beginner (1-2 years) ₹ 3.9 Lakhs per year * Ambitionbox Highest-paying Data Scientist job profile Data Analyst ₹ 6.5 Lakhs per year Data Science Engineer ₹9.50

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