Smart Data Collective

OCTOBER 17, 2022

Big data is shaping our world in countless ways. Data powers everything we do. Exactly why, the systems have to ensure adequate, accurate and most importantly, consistent data flow between different systems. It stores the data of every partner business entity in an exclusive micro-DB while storing millions of databases.

Data Pipeline 145

Data Pipeline Data Warehouse ETL Data Lakes 145

Towards AI

APRIL 19, 2024

The Use of LLMs: An Attractive Solution for Data Analysis Not only can LLMs deliver data analysis in a user-friendly and conversational format “via the most universal interface: Natural Language,” as Satya Nadella, the CEO of Microsoft, puts it, but also they can adapt and tailor their responses to immediate context and user needs.

Analytics 104

Analytics Analytics Data Analysis Data Analysis 104

Mlearning.ai

MAY 5, 2023

You should be comfortable working with data structures, algorithms, and libraries like NumPy, Pandas, and TensorFlow. Data Analysis Skills : To work with LLMs effectively, you should be comfortable with data analysis techniques.

Natural Language Processing 98

Natural Language Processing Deep Learning Deep Learning Exploratory Data Analysis 98

Women in Big Data

APRIL 17, 2024

Exploratory Data Analysis (EDA): We unpacked the importance of EDA, the process of uncovering patterns and relationships within your data. Data Exploration: Unveiling the Story Within The workshop equipped you with skills to analyze sample A/B experiment data and perform exploratory data analysis (EDA).

Exploratory Data Analysis 52

Exploratory Data Analysis EDA Machine Learning Machine Learning 52

ODSC - Open Data Science

AUGUST 9, 2023

The inferSchema parameter is set to True to infer the data types of the columns, and header is set to True to use the first row as headers. About the Author: Suman Debnath is a Principal Developer Advocate(Data Engineering) at Amazon Web Services, primarily focusing on Data Engineering, Data Analysis and Machine Learning.

Machine Learning 52

Machine Learning Machine Learning AWS Big Data 52

Pickl AI

DECEMBER 3, 2024

With the explosion of data in recent years, it has become essential for data scientists and Machine Learning practitioners to understand and effectively apply preprocessing techniques. Loading the dataset allows you to begin exploring and manipulating the data. During EDA, you can: Check for missing values.

Python 52

Python ML ML Exploratory Data Analysis 52

Mlearning.ai

MAY 23, 2023

Blind 75 LeetCode Questions - LeetCode Discuss Data Manipulation and Analysis Proficiency in working with data is crucial. This includes skills in data cleaning, preprocessing, transformation, and exploratory data analysis (EDA).

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

FEBRUARY 22, 2024

Summary: Dive into programs at Duke University, MIT, and more, covering Data Analysis, Statistical quality control, and integrating Statistics with Data Science for diverse career paths. offer modules in Statistical modelling, biostatistics, and comprehensive Data Science bootcamps, ensuring practical skills and job placement.

Data Science 52

Data Science Hypothesis Testing Data Analysis Data Analysis 52

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.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. 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 Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

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.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Flipboard

MARCH 22, 2023

Data Wrangler makes it easy to ingest data and perform data preparation tasks such as exploratory data analysis, feature selection, and feature engineering. His knowledge ranges from application architecture to big data, analytics, and machine learning. Bosco Albuquerque is a Sr.

AWS 123

AWS Data Preparation Azure Data Scientist 123

Data Science Blog

FEBRUARY 23, 2023

Along with the rapid progress of deep learning mentioned above, a lot of hypes and catchphrases regarding big data and machine learning were made, and an interesting one is “Data is the new oil.” ” That might have been said only because big data is sources of various industries.

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

Pickl AI

APRIL 26, 2024

Top 50+ Interview Questions for Data Analysts Technical Questions SQL Queries What is SQL, and why is it necessary for data analysis? SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. How would you segment customers based on their purchasing behaviour?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

SEPTEMBER 5, 2024

Unified Data Services: Azure Synapse Analytics combines big data and data warehousing, offering a unified analytics experience. Azure’s global network of data centres ensures high availability and performance, making it a powerful platform for Data Scientists to leverage for diverse data-driven projects.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Pickl AI

JUNE 12, 2023

How Professionals Can Use Tableau for Data Science? Tableau is a powerful data visualization and business intelligence tool that can be effectively used by professionals in the field of data science. Professionals can connect to various data sources, including databases, spreadsheets, and big data platforms.

Tableau 52

Tableau Data Science Data Scientist Data Analysis 52

Pickl AI

MARCH 3, 2023

There are other types of Statistical Analysis as well which includes the following: Predictive Analysis: Significantly, it is the type of Analysis useful for forecasting future events based on present and past data. Moreover, it helps make informed decisions and encourages efficient decision-making processes.

Exploratory Data Analysis 40

Exploratory Data Analysis Hypothesis Testing Data Analyst Data Scientist 40

DrivenData Labs

APRIL 10, 2024

Combining deep and practical understanding of technology, computer vision and AI with experience in big data architectures. A data geek by heart. What motivated you to compete in this challenge?

Deep Learning 130

Deep Learning Deep Learning Machine Learning Machine Learning 130

Mlearning.ai

JULY 11, 2023

For instance, feature engineering and exploratory data analysis (EDA) often require the use of visualization libraries like Matplotlib and Seaborn. In the data science industry, effective communication and collaboration play a crucial role. Moreover, tools like Power BI and Tableau can produce remarkable results.

Data Science 40

Data Science Exploratory Data Analysis Azure Power BI 40

Pickl AI

JULY 20, 2023

Defining clear objectives and selecting appropriate techniques to extract valuable insights from the data is essential. Here are some project ideas suitable for students interested in big data analytics with Python: 1. Sentiment Analysis on Social Media Data: Gather tweets or reviews from a social media platform using APIs.

Analytics 40

Analytics Analytics Big Data Big Data 40

Pickl AI

NOVEMBER 15, 2023

Data scientists can explore, experiment, and derive valuable insights without the constraints of a predefined structure. This capability empowers organizations to uncover hidden patterns, trends, and correlations in their data, leading to more informed decision-making.

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

AWS Machine Learning Blog

AUGUST 12, 2024

Figure 7: Using SageMaker Data Wrangler’s chat for data prep to run SQL statements Check for data quality SageMaker Canvas also provides exploratory data analysis (EDA) capabilities that allow you to gain deeper insights into the data prior to the ML model build step.

ML 129

ML ML AWS AI 129

Pickl AI

FEBRUARY 12, 2024

Course Topics: Introduction to Data Science Data Acquisition and Cleaning Exploratory Data Analysis (EDA) Statistical Analysis Programming for Data Science Machine Learning Basics Supervised Learning Algorithms Unsupervised Learning Algorithms Introduction to Deep Learning Big Data and Cloud Computing Top Data Science Interview Questions and Expert (..)

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Pickl AI

JANUARY 12, 2023

After the completion of the course, they can perform data analysis and build products using R. Course Eligibility Anybody who is willing to expand their knowledge in data science can enroll for this program. Data Science Program for working professionals by Pickl.AI Course Overview What is Data Science?

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

ODSC - Open Data Science

JULY 19, 2023

Model Development (Inner Loop): The inner loop element consists of your iterative data science workflow. A typical workflow is illustrated here from data ingestion, EDA (Exploratory Data Analysis), experimentation, model development and evaluation, to the registration of a candidate model for production.

Machine Learning 52

Machine Learning Machine Learning Azure Data Science 52

Pickl AI

APRIL 10, 2023

So, if you are eyeing your career in the data domain, this blog will take you through some of the best colleges for Data Science in India. There is a growing demand for employees with digital skills The world is drifting towards data-based decision making In India, a technology analyst can make between ₹ 5.5 Lakhs to ₹ 11.0

Data Science 52

Data Science Machine Learning Machine Learning Python 52

Pickl AI

SEPTEMBER 12, 2024

Data Cleaning: Raw data often contains errors, inconsistencies, and missing values. Data cleaning identifies and addresses these issues to ensure data quality and integrity. Data Visualisation: Effective communication of insights is crucial in Data Science.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Snorkel AI

MAY 12, 2023

Compute, big data, large commoditized models—all important stages. But now we’re entering a period where data investments have massive returns from all performance as well as business impact.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

MAY 12, 2023

Compute, big data, large commoditized models—all important stages. But now we’re entering a period where data investments have massive returns from all performance as well as business impact.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Towards AI

MAY 8, 2025

Unless you have very specific performance needs, Pandas will efficiently handle tasks like quick exploratory analysis and visualizations. You are doing a quick exploratory data analysis. Your workflows involve lots of data visualization. Use Pandas when: Your dataset fits comfortably in memory.

Data Engineering 82

Data Engineering Data Engineering Data Engineer Data Engineering 82