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.

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Pickl AI

JANUARY 16, 2024

Summary: The blog delves into the 2024 Data Analyst career landscape, focusing on critical skills like Data Visualisation and statistical analysis. It identifies emerging roles, such as AI Ethicist and Healthcare Data Analyst, reflecting the diverse applications of Data Analysis.

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Pickl AI

OCTOBER 16, 2024

Summary: Relational Database Management Systems (RDBMS) are the backbone of structured data management, organising information in tables and ensuring data integrity. This article explores RDBMS’s features, advantages, applications across industries, the role of SQL, and emerging trends shaping the future of data management.

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Pickl AI

JULY 3, 2023

Here are steps you can follow to pursue a career as a BI Developer: Acquire a solid foundation in data and analytics: Start by building a strong understanding of data concepts, relational databases, SQL (Structured Query Language), and data modeling.

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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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Pickl AI

OCTOBER 17, 2024

Summary: Descriptive Analytics tools transform historical data into visual reports, helping businesses identify trends and improve decision-making. Popular tools like Power BI, Tableau, and Google Data Studio offer unique features for Data Analysis. What is Descriptive Analytics?

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Pickl AI

FEBRUARY 19, 2025

The main goal of Data Analytics is to improve decision-making. With the proper Data Analysis, businesses can reduce costs, increase profits, and provide better services. For example, a weather app predicts rainfall using past climate data. Data Analysts , however, do not need deep programming knowledge.

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Pickl AI

JUNE 12, 2023

A Data Scientist requires to be able to visualize quickly the data before creating the model and Tableau is helpful for that. Tableau is useful for summarising the metrics of success. Disadvantages of Tableau for Data Science However, apart from the advantages, Tableau for Data Science also has its own disadvantages.

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Pickl AI

JANUARY 9, 2025

Summary: Operations Analyst job in 2025 are integral to improving efficiency, data analysis, and process optimisation. With career growth opportunities and a focus on data-driven decisions, this job remains central to organisational success. Expertise in tools like Power BI, SQL, and Python is crucial.

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Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Key Components of Data Intelligence In Data Intelligence, understanding its core components is like deciphering the secret language of information.

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phData

SEPTEMBER 10, 2024

How Churn is Analyzed and Monitored Churn analytics involves using data analysis techniques to understand and predict customer churn. Various methods include: Descriptive Analytics : Summarizing historical data helps understand the current churn state. days, account_tenure_median = 5.01

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Pickl AI

APRIL 15, 2024

Key Takeaways Pickl.AI’s Data Science Job Guarantee Program offers an online comprehensive curriculum and practical training. With a 1-year job guarantee, it focuses on essential skills like Python, Tableau, SQL, and machine learning. Data Mining : Think of data mining as digging for gold in a mountain of data.

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Pickl AI

MAY 29, 2024

Understanding Data Science Data Science is a multidisciplinary field that combines statistics, mathematics, computer science, and domain-specific knowledge to extract insights and wisdom from structured and unstructured data. Data Science has been critical in providing insights and solutions based on Data Analysis.

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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.

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Pickl AI

SEPTEMBER 19, 2024

Spark SQL Spark SQL is a module that works with structured and semi-structured data. It allows users to run SQL queries, read data from different sources, and seamlessly integrate with Spark’s core capabilities. This component bridges the gap between traditional SQL databases and big data processing.

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phData

SEPTEMBER 4, 2024

ThoughtSpot is a cloud-based AI-powered analytics platform that uses natural language processing (NLP) or natural language query (NLQ) to quickly query results and generate visualizations without the user needing to know any SQL or table relations. Why Use ThoughtSpot?

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Pickl AI

JANUARY 28, 2025

Effective data modeling enhances the usability of the BI system by making it easier to navigate through complex datasets. Data Analysis At this stage, organizations use various analytical techniques to derive insights from the stored data: Descriptive Analytics: Provides insights into past performance by summarizing historical data.

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Pickl AI

DECEMBER 16, 2024

Power BI is a dynamic business intelligence and analytics platform that transforms raw data into actionable insights through powerful visualisations and reports. Developed by Microsoft, it is designed to simplify Data Analysis for users at all levels, from beginners to advanced analysts.

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Data Science Dojo

AUGUST 16, 2024

Natural Language Processing (NLP) for Data Interaction Generative AI models like GPT-4 utilize transformer architectures to understand and generate human-like text based on a given context. This capability automates much of the manual work traditionally involved in data analytics.

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Pickl AI

DECEMBER 4, 2024

A key aspect of this evolution is the increased adoption of cloud computing, which allows businesses to store and process vast amounts of data efficiently. According to recent statistics, 56% of healthcare organisations have adopted predictive analytics to improve patient outcomes.

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Pickl AI

MARCH 10, 2025

In this blog, well explore the 5 key components of Power BI , their features, and how they can help you make data-driven decisions. Key Takeaways User-Friendly Interface: Simplifies data analysis for non-technical users. Key Features Data Import: Connects to multiple data sources like Excel, SQL Server, or cloud services.

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Pickl AI

APRIL 2, 2024

There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. Think of it as summarizing past data to answer questions like “Which products are selling best?” ” or “What are our customer demographics?”

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Dataconomy

MARCH 19, 2025

This helps facilitate data-driven decision-making for businesses, enabling them to operate more efficiently and identify new opportunities. Definition and significance of data science The significance of data science cannot be overstated. Machine learning engineer: Focuses on the development of predictive models.

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