Analytics Vidhya

JANUARY 17, 2023

Corporations across all industries have invested significantly in big data, establishing analytics departments, particularly in telecommunications, insurance, advertising, financial services, healthcare, and technology. The post Step-by-Step Guide to Becoming a Data Analyst in 2023 appeared first on Analytics Vidhya.

Big Data 263

Big Data Data Analysis Data Science Python 263

Analytics Vidhya

JUNE 1, 2023

Introduction Welcome to our comprehensive data analysis blog that delves deep into the world of Netflix. Netflix’s Global Reach Netflix […] The post Netflix Case Study (EDA): Unveiling Data-Driven Strategies for Streaming appeared first on Analytics Vidhya.

Data Analysis 279

Data Analysis Big Data Python 279

ODSC - Open Data Science

FEBRUARY 2, 2023

Being able to discover connections between variables and to make quick insights will allow any practitioner to make the most out of the data. Analytics and Data Analysis Coming in as the 4th most sought-after skill is data analytics, as many data scientists will be expected to do some analysis in their careers.

Data Science 98

Data Science Data Scientist Big Data Machine Learning 98

ODSC - Open Data Science

FEBRUARY 8, 2024

Jon Krohn | Chief Data Scientist | Nebula.io Jon Krohn as he takes a deep dive into the models like GPT-4 that are transforming the world in general and the field of data science in particular at an unprecedented pace. Introduction to scikit-learn: Machine Learning in Python Thomas J. Unfamiliar with Scikit-learn?

Large Language Models 52

Large Language Models Big Data Deep Learning Data Science 52

Pickl AI

AUGUST 1, 2023

Data Pipeline Orchestration: Managing the end-to-end data flow from data sources to the destination systems, often using tools like Apache Airflow, Apache NiFi, or other workflow management systems. It teaches Pandas, a crucial library for data preprocessing and transformation.

Big Data 52

Big Data Data Analysis Data Scientist Data Ingestion 52

Pickl AI

FEBRUARY 27, 2024

Summary: Leveraging data skills for Financial Analysts explores how Financial Analysts can harness data skills to enhance their roles. It delves into data analysis techniques to interpret financial trends effectively, including statistical analysis and data visualization.

Big Data 52

Big Data Data Analysis Machine Learning Python 52

Pickl AI

JULY 25, 2023

Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Role of Data Scientists Data Scientists are the architects of data analysis.

Data Science 52

Data Science Data Scientist ETL Machine Learning 52

IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? Python is the most common programming language used in machine learning.

Data Science 148

Data Science Machine Learning Big Data Data Mining 148

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 Analysis 52

Data Analysis Machine Learning ETL Explainability 52

ODSC - Open Data Science

APRIL 3, 2023

We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023. Excel is the second most sought-after tool in our chart as you’ll see below as it’s still an industry standard for data management and analytics.

Big Data 52

Big Data ETL Data Science Deep Learning 52

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.

Data Analysis 52

Data Analysis Data Scientist Data Science 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 Analysis 52

Data Analysis Data Scientist Data Science Machine Learning 52

Pickl AI

JUNE 18, 2023

Hadoop has become a highly familiar term because of the advent of big data in the digital world and establishing its position successfully. The technological development through Big Data has been able to change the approach of data analysis vehemently. Let’s find out from the blog! What is Hadoop?

Big Data 52

Big Data Machine Learning Data Quality Data Analysis 52

Pragnakalp

APRIL 29, 2024

Step 3: Load and process the PDF data For this blog, we will use a PDF file to perform the QnA on it. We’ve selected a research paper titled “DEEP LEARNING APPLICATIONS AND CHALLENGES IN BIG DATA ANALYTICS,” which can be accessed at the following link: [link] Please download the PDF and place it in your working directory.

Deep Learning 59

Deep Learning Big Data LLM Data Science 59

Pickl AI

JULY 20, 2023

These may range from Data Analytics projects for beginners to experienced ones. Following is a guide that can help you understand the types of projects and the projects involved with Python and Business Analytics. Here are some project ideas suitable for students interested in big data analytics with Python: 1.

Big Data 40

Big Data Natural Language Processing Machine Learning Python 40

Pickl AI

SEPTEMBER 4, 2023

Data Visualization: Create clear and informative data visualisations, such as graphs and charts, to communicate findings to non-technical stakeholders. Statistical Software and Tools: Use statistical software like R, Python, SAS, or specialised tools to conduct data analysis and generate reports.

Data Analysis 52

Data Analysis Machine Learning Python Continuous Learning 52

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.

Data Science 210

Data Science Data Scientist Machine Learning Data Mining 210

Towards AI

FEBRUARY 15, 2024

Coding, algorithms, statistics, and big data technologies are especially crucial for AI engineers. In order to have a good knowledge of data science, statistics, machine learning, and mathematics, AI engineers also need to be very skilled programmers. Hard skills entail skills related to mathematics, computers, and engineering.

AI Engineer 94

AI Engineer Software Engineer Artificial Intelligence Artificial Intelligence 94

Pickl AI

MARCH 24, 2023

The modern world operates on large volumes of data and Data Science has become an integral part of organisations. Today, various industries incorporate Big Data and Data Analytics into their business operations. From retailers to the healthcare sector, crucial decisions are made based on data analysis.

Data Science 52

Data Science Data Scientist Data Analysis Machine Learning 52

ODSC - Open Data Science

AUGUST 15, 2023

Big Data Analysis with PySpark Bharti Motwani | Associate Professor | University of Maryland, USA Ideal for business analysts, this session will provide practical examples of how to use PySpark to solve business problems. Finally, you’ll discuss a stack that offers an improved UX that frees up time for tasks that matter.

Software Architect 52

Software Architect Data Scientist Data Science Machine Learning 52

Mlearning.ai

MAY 23, 2023

Mathematics for Machine Learning and Data Science Specialization Proficiency in Programming Data scientists need to be skilled in programming languages commonly used in data science, such as Python or R. These languages are used for data manipulation, analysis, and building machine learning models.

Data Science 52

Data Science Data Scientist Machine Learning Big Data 52

ODSC - Open Data Science

FEBRUARY 6, 2024

Jon Krohn as he takes a deep dive into the models like GPT-4 that are transforming the world in general and the field of data science in particular at an unprecedented pace.

Large Language Models 52

Large Language Models LLM Big Data NLP 52

ODSC - Open Data Science

MAY 2, 2023

The data science degree was recognized by ValueColleges.com as a top 10 “Best Value Big Data Program,” comprises of eight courses, and does not require a background in coding or statistics. Boston College At Boston College’s Carroll School of Management, you’ll find the Data Analytics Sequence, a part of their MBA program.

Data Science 52

Data Science Big Data Data Mining Data Analysis 52

Mlearning.ai

MAY 5, 2023

Programming Skills : LLMs are typically developed using programming languages like Python, so it’s essential to have strong programming skills. You should be comfortable working with data structures, algorithms, and libraries like NumPy, Pandas, and TensorFlow.

Large Language Models 98

Large Language Models Neural Network Natural Language Processing Deep Learning 98

John Snow Labs

JUNE 15, 2023

Spark NLP offers a powerful Python library for scalable text analysis tasks, and its NGramGenerator annotator simplifies n-gram generation. Spark NLP’s integration with Apache Spark enables distributed computing, making it a valuable tool for modern data analysis needs. References Mehmood, Arshad.

NLP 52

NLP Data Scientist Natural Language Processing Data Analysis 52

Pickl AI

JULY 18, 2023

There are different programming languages and in this article, we will explore 8 programming languages that play a crucial role in the realm of Data Science. 8 Most Used Programming Languages for Data Science 1. Python: Versatile and Robust Python is one of the future programming languages for Data Science.

Data Science 52

Data Science Data Scientist Python Business Intelligence 52

Dlabs.ai

SEPTEMBER 16, 2020

of software developers worldwide specialize in big data and machine learning. However, if you want to be a standout data scientist, you need to expand your knowledge and stay up to date with the latest market trends — whether you’re just learning the ropes or you’ve been doing it for years.

Data Scientist 52

Data Scientist Big Data Machine Learning Data Science 52

Pickl AI

APRIL 10, 2023

Data Analysis is one of the most crucial tasks for business organisations today. SQL or Structured Query Language has a significant role to play in conducting practical Data Analysis. Data Analysts need deeper knowledge on SQL to understand relational databases like Oracle, Microsoft SQL and MySQL.

Data Analysis 52

Data Analysis Big Data Data Scientist Python 52

ODSC - Open Data Science

OCTOBER 20, 2023

You’ll use MLRun, Langchain, and Milvus for this exercise and cover topics like the integration of AI/ML applications, leveraging Python SDKs, as well as building, testing, and tuning your work. You’ll cover the integration of LLMs with advanced algorithms in DataGPT, with an emphasis on their collaborative roles in data analysis.

NLP 52

NLP Data Science Machine Learning Data Analysis 52

Towards AI

FEBRUARY 2, 2024

I hope that you have sufficient knowledge of big data and Hadoop concepts like Map, reduce, transformations, actions, lazy evaluation, and many more topics in Hadoop and Spark. Before starting to do transformations or any data analysis using Pyspark it is important to create a spark session. Let’s get into the context.

Data Analysis 96

Data Analysis Big Data Data Science Python 96

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.

Data Science 52

Data Science Data Scientist Machine Learning Software Engineer 52

Pickl AI

JANUARY 23, 2024

Data Management Proficient in efficiently collecting and interpreting vast datasets. Programming Proficiency Hands-on experience in Python and R for practical Data Analysis. Business Acumen Holistic understanding bridging raw data to strategic decisions.

Data Scientist 52

Data Scientist Business Intelligence Machine Learning Big Data 52

Pickl AI

JANUARY 12, 2023

After the completion of the course, they can perform data analysis and build products using R. This Data Science professional certificate program is industry-recognized and incorporates all the fundamentals of Data Science along with Machine Learning and its practical applications. Course Overview What is Data Science?

Data Science 52

Data Science Data Scientist Machine Learning Python 52

Pickl AI

FEBRUARY 28, 2023

Significantly, Data Science experts have a strong foundation in mathematics, statistics, and computer science. Furthermore, they must be highly efficient in programming languages like Python or R and have data visualization tools and database expertise. Who is a Data Analyst? in manipulating and analysing the data.

Data Scientist 52

Data Scientist Data Mining Data Science Machine Learning 52

Pickl AI

JUNE 21, 2023

Learn programming languages and tools: While you may not have a technical background, acquiring programming skills is essential in data science. Start by learning Python or R, which are widely used in the field. Accordingly, following are the Data Science Course with placement programmes: Pickl.AI

Data Scientist 52

Data Scientist Data Science Python Continuous Learning 52

ODSC - Open Data Science

MARCH 11, 2024

You will also get invaluable insights by networking and connecting with hundreds of data science attendees, world-renowned instructors, industry experts, and dozens of top companies seeking the next wave of talent. The Mini-Bootcamp also includes pre-conference live and on-demand virtual training.

Responsible AI 52

Responsible AI Deep Learning Data Science Machine Learning 52

Dlabs.ai

MAY 22, 2022

What is data analysis? How to train data to obtain valuable insights The artificial intelligence course itself is free. Machine Learning with Python: A Practical Introduction Author: Saeed Aghabozorgi Ph.D. According to GitHub , Python is the most popular programming language used in machine learning.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Neural Network 52