Pickl AI

JUNE 21, 2023

There are several courses on Data Science for Non-Technical background aspirants ensuring that they can develop their skills and capabilities to become a Data Scientist. Let’s read the blog to know how can a non-technical person learn Data Science. What background does a Data Scientist need?

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Pickl AI

NOVEMBER 4, 2024

Its robust ecosystem of libraries and frameworks tailored for Data Science, such as NumPy, Pandas, and Scikit-learn, contributes significantly to its popularity. Moreover, Python’s straightforward syntax allows Data Scientists to focus on problem-solving rather than grappling with complex code.

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AWS Machine Learning Blog

AUGUST 21, 2024

Amazon DataZone allows you to create and manage data zones , which are virtual data lakes that store and process your data, without the need for extensive coding or infrastructure management. Solution overview In this section, we provide an overview of three personas: the data admin, data publisher, and data scientist.

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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

MARCH 20, 2024

Summary: The role of a Data Scientist has emerged as one of the most coveted and lucrative professions across industries. Combining a blend of technical and non-technical skills, a Data Scientist navigates through vast datasets, extracting valuable insights that drive strategic decisions.

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ODSC - Open Data Science

MARCH 10, 2025

Over the past decade, data science has undergone a remarkable evolution, driven by rapid advancements in machine learning, artificial intelligence, and big data technologies. By 2017, deep learning began to make waves, driven by breakthroughs in neural networks and the release of frameworks like TensorFlow.

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ODSC - Open Data Science

AUGUST 15, 2023

To help you stay ahead of the curve, ODSC APAC this August 22nd-23rd will feature expert-led training sessions in both data science fundamentals and cutting-edge tools and frameworks. Check out a few of them below. Finally, you’ll discuss a stack that offers an improved UX that frees up time for tasks that matter.

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Pickl AI

JULY 10, 2023

As a programming language it provides objects, operators and functions allowing you to explore, model and visualise data. The programming language can handle Big Data and perform effective data analysis and statistical modelling. R’s workflow support enhances productivity and collaboration among data scientists.

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Pickl AI

MAY 31, 2023

Tools such as Matplotlib, Seaborn, and Tableau may help you in creating useful visualisations that make challenging data more readily available and understandable to others. It is critical for knowing how to work with huge data sets efficiently. Also Read: How to become a Data Scientist after 10th?

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ODSC - Open Data Science

APRIL 3, 2023

Skills like effective verbal and written communication will help back up the numbers, while data visualization (specific frameworks in the next section) can help you tell a complete story. Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis.

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Pickl AI

JULY 18, 2023

Dealing with large datasets: With the exponential growth of data in various industries, the ability to handle and extract insights from large datasets has become crucial. Data science equips you with the tools and techniques to manage big data, perform exploratory data analysis, and extract meaningful information from complex datasets.

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Pickl AI

SEPTEMBER 24, 2024

As businesses increasingly rely on data to make informed decisions, the demand for skilled Data Scientists has surged, making this field one of the most sought-after in the job market. High Demand The demand for Data Scientists is staggering. Lucrative Career Data Science offers an appealing earning potential.

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Pickl AI

JANUARY 25, 2023

Accordingly, extraction of data, deleting, updating and modifying data in a table are essential uses of SQL. The need for SQL for a Data Scientist involves further crucial aspects which are as follows: SQL is important for a Data Scientist who needs to handle structured data.

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Pickl AI

NOVEMBER 5, 2024

These courses introduce you to Python, Statistics, and Machine Learning , all essential to Data Science. Starting with these basics enables a smoother transition to more specialised topics, such as Data Visualisation, Big Data Analysis , and Artificial Intelligence. Short, Impactful Format : The 2.5-hour

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Pickl AI

APRIL 10, 2023

Data Analysts need deeper knowledge on SQL to understand relational databases like Oracle, Microsoft SQL and MySQL. Moreover, SQL is an important tool for conducting Data Preparation and Data Wrangling. For example, Data Analysts who need to use Big Data tools for conducting data analysis need to have expertise in SQL.

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IBM Journey to AI blog

DECEMBER 16, 2022

Let’s look at five benefits of an enterprise data catalog and how they make Alex’s workflow more efficient and her data-driven analysis more informed and relevant. A data catalog replaces tedious request and data-wrangling processes with a fast and seamless user experience to manage and access data products.

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Pickl AI

FEBRUARY 12, 2024

Data Science interviews are pivotal moments in the career trajectory of any aspiring data scientist. Having the knowledge about the data science interview questions will help you crack the interview. However, cracking the interview can be challenging.

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Pickl AI

SEPTEMBER 12, 2024

Data Science is the art and science of extracting valuable information from data. It encompasses data collection, cleaning, analysis, and interpretation to uncover patterns, trends, and insights that can drive decision-making and innovation.

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