A Complete Collection of Data Science Free Courses – Part 1
KDnuggets
MARCH 21, 2023
The first part covers the list of Programming, Web scraping, Statistics & Probability, Data Analytics, SQL, and Business Intelligence free courses.
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KDnuggets
MARCH 21, 2023
The first part covers the list of Programming, Web scraping, Statistics & Probability, Data Analytics, SQL, and Business Intelligence free courses.
KDnuggets
OCTOBER 10, 2022
The only cheat you need for a job interview and data professional life. It includes SQL, web scraping, statistics, data wrangling and visualization, business intelligence, machine learning, deep learning, NLP, and super cheat sheets.
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KDnuggets
APRIL 19, 2024
The collection includes free courses on Python, SQL, Data Analytics, Business Intelligence, Data Engineering, Machine Learning, Deep Learning, Generative AI, and MLOps.
Data Science Dojo
MAY 10, 2023
Navigating the realm of data science careers is no longer a tedious task. In the current landscape, data science has emerged as the lifeblood of organizations seeking to gain a competitive edge. They require strong analytical skills, knowledge of data modeling, and expertise in business intelligence tools.
KDnuggets
AUGUST 8, 2022
The first part covers the list of Programming, Web scraping, Data Analytics, SQL, Business Intelligence, and Time Series projects.
Analytics Vidhya
JUNE 27, 2020
Overview There are a plethora of data science tools out there – which one should you pick up? The post 22 Widely Used Data Science and Machine Learning Tools in 2020 appeared first on Analytics Vidhya. Here’s a list of over 20.
KDnuggets
JUNE 20, 2022
The first part covers the list of Behavioral, Situational, Statistics, Python, R, SQL, Data Analytics, and Business Intelligence interview questions.
Analytics Vidhya
APRIL 28, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon. The post Learn how to get insights from Azure SQL Database: A sample data analytics project using Global Peace Index data appeared first on Analytics Vidhya.
Analytics Vidhya
AUGUST 29, 2022
This article was published as a part of the Data Science Blogathon. Introduction Tableau is a data visualization tool created in Salesforce that allows users to connect to any database, like SQL or MongoDB, and interact freely.
Data Science Dojo
SEPTEMBER 5, 2024
Data science and computer science are two pivotal fields driving the technological advancements of today’s world. It has, however, also led to the increasing debate of data science vs computer science. It has, however, also led to the increasing debate of data science vs computer science.
Data Science Dojo
SEPTEMBER 5, 2024
Data science and computer science are two pivotal fields driving the technological advancements of today’s world. It has, however, also led to the increasing debate of data science vs computer science. It has, however, also led to the increasing debate of data science vs computer science.
How to Learn Machine Learning
APRIL 26, 2025
The field of data science is now one of the most preferred and lucrative career options available in the area of data because of the increasing dependence on data for decision-making in businesses, which makes the demand for data science hires peak.
Data Science Dojo
FEBRUARY 1, 2023
Azure Synapse provides a unified platform to ingest, explore, prepare, transform, manage, and serve data for BI (Business Intelligence) and machine learning needs. DWUs (Data Warehouse Units) can customize resources and optimize performance and costs. One way to do this is by pausing and scaling the dedicated SQL pool.
Data Science Dojo
APRIL 6, 2023
As data-driven decision-making gains popularity, more tech graduates are learning data science to enter the job market. While Python and R are popular for analysis and machine learning, SQL and database management are often overlooked. They use Structured Query Language (SQL) for managing and querying data.
Data Science Dojo
MAY 18, 2023
In March 2023, we had the pleasure of hosting the first edition of the Future of Data and AI conference – an incredible tech extravaganza that drew over 10,000 attendees, featured 30+ industry experts as speakers, and offered 20 engaging panels and tutorials led by the talented team at Data Science Dojo.
Data Science Dojo
SEPTEMBER 11, 2024
These experiences facilitate professionals from ingesting data from different sources into a unified environment and pipelining the ingestion, transformation, and processing of data to developing predictive models and analyzing the data by visualization in interactive BI reports.
Data Science Blog
NOVEMBER 15, 2023
In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. For analysis the way of Business Intelligence this normalized data model can already be used.
AWS Machine Learning Blog
AUGUST 8, 2024
Managing and retrieving the right information can be complex, especially for data analysts working with large data lakes and complex SQL queries. RAG optimizes language model outputs by extending the models’ capabilities to specific domains or an organization’s internal data for tailored responses.
Pickl AI
JANUARY 25, 2023
One of the most demanding fields in the business world today is of Data Science. With numerous job opportunities, Data Science skills have become essential in the market. The easiest skill that a Data Science aspirant might develop is SQL. What is SQL?
IBM Journey to AI blog
SEPTEMBER 19, 2023
Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.
AWS Machine Learning Blog
AUGUST 1, 2024
In this post, we demonstrate the process of fine-tuning Meta Llama 3 8B on SageMaker to specialize it in the generation of SQL queries (text-to-SQL). Solution overview We walk through the steps of fine-tuning an FM with using SageMaker, and importing and evaluating the fine-tuned FM for SQL query generation using Amazon Bedrock.
Dataconomy
JULY 24, 2023
If you’ve found yourself asking, “How to become a data scientist?” In this detailed guide, we’re going to navigate the exciting realm of data science, a field that blends statistics, technology, and strategic thinking into a powerhouse of innovation and insights. ” you’re in the right place.
AWS Machine Learning Blog
OCTOBER 24, 2024
Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, predicting late shipments, and many others. Basic knowledge of a SQL query editor.
Dataconomy
JULY 25, 2023
Is data science a good career? So, if a simple yes has convinced you, you can go straight to learning how to become a data scientist. But if you want to learn more about data science, today’s emerging profession that will shape your future, just a few minutes of reading can answer all your questions.
Dataversity
APRIL 8, 2021
Business intelligence (BI) tools transform the unprocessed data into meaningful and actionable insight. BI tools analyze the data and convert them […]. The post Important Features of Top Business Intelligence Tools appeared first on DATAVERSITY.
Dataconomy
FEBRUARY 22, 2016
Business intelligence has come a long way in the last 20 years. From its humble beginnings as a marriage between Excel and complex SQL queries to the latest user-friendly self-service functionalities, BI software has become the go-to resource for analytics and reporting. However, there’s still a gap in what companies.
Data Science Dojo
JULY 6, 2023
It offers extensibility and integration with various data engineering tools. dbt (Data Build Tool): dbt is an open-source data transformation and modeling tool. It allows data engineers to build, test, and maintain data pipelines in a version-controlled manner.
Pickl AI
JULY 18, 2023
Data Science helps businesses uncover valuable insights and make informed decisions. Programming for Data Science enables Data Scientists to analyze vast amounts of data and extract meaningful information. 8 Most Used Programming Languages for Data Science 1.
Data Science Blog
JUNE 30, 2023
However, we collect these over time and will make trends secure, for example how the demand for Python, SQL or specific tools such as dbt or Power BI changes. For DATANOMIQ this is a show-case of the coming Data as a Service ( DaaS ) Business. The presentation is currently limited to the current situation on the labor market.
ODSC - Open Data Science
FEBRUARY 24, 2023
With Great Expectations , data teams can express what they “expect” from their data using simple assertions. Great Expectations provides support for different data backends such as flat file formats, SQL databases, Pandas dataframes and Sparks, and comes with built-in notification and data documentation functionality.
Smart Data Collective
APRIL 8, 2020
The data collected in the system may in the form of unstructured, semi-structured, or structured data. This data is then processed, transformed, and consumed to make it easier for users to access it through SQL clients, spreadsheets and Business Intelligence tools. Big data and data warehousing.
AWS Machine Learning Blog
APRIL 3, 2025
Embracing generative AI with Amazon Bedrock The company has identified several use cases where generative AI can significantly impact operations, particularly in analytics and business intelligence (BI). This tool democratizes data access across the organization, enabling even nontechnical users to gain valuable insights.
Pickl AI
JUNE 19, 2024
Summary: Confused about Data Science course requirements? Learn how to assess courses and prepare for enrollment to launch your Data Science journey. The world runs on data. From targeted advertising to personalized healthcare, Data Science is revolutionizing every industry. Let’s Get Started !!!
Data Science Dojo
AUGUST 16, 2024
Imagine asking a question in plain English and instantly getting a detailed report or a visual representation of your data—this is what GenAI can do. It’s not just for tech experts anymore; GenAI democratizes data science, allowing anyone to extract insights from data easily.
Pickl AI
FEBRUARY 19, 2025
Summary: The difference between Data Science and Data Analytics lies in their approachData Science uses AI and Machine Learning for predictions, while Data Analytics focuses on analysing past trends. Data Science requires advanced coding, whereas Data Analytics relies on statistical methods.
Smart Data Collective
AUGUST 10, 2021
Data Science: Harnessing the Power of Big Data. Marketing and business strategy benefit greatly from data. People who are interested in data and statistics can do very well in a data science or analytics career. This makes it a great choice for businesses without the budget for a tech expert.
Pickl AI
SEPTEMBER 24, 2024
Summary: This article outlines key Data Science course detailing their fees and duration. Introduction Data Science rapidly transforms industries, making it a sought-after field for aspiring professionals. The global Data Science Platform Market was valued at $95.3 Why Should You Learn Data Science?
Pickl AI
NOVEMBER 4, 2024
Each database type requires its specific driver, which interprets the application’s SQL queries and translates them into a format the database can understand. The driver manages the connection to the database, processes SQL commands, and retrieves the resulting data. INSERT : Add new records to a table.
Pickl AI
JUNE 12, 2023
Tableau can help Data Scientists generate graphs, charts, maps and data-driven stories, etc for purpose of visualisation and analysing data. But What is Tableau for Data Science and what are its advantages and disadvantages? How Professionals Can Use Tableau for Data Science? Additionally.
Pickl AI
APRIL 2, 2024
Summary This blog post demystifies data science for business leaders. It explains key concepts, explores applications for business growth, and outlines steps to prepare your organization for data-driven success. Data Science Cheat Sheet for Business Leaders In today’s data-driven world, information is power.
Smart Data Collective
OCTOBER 14, 2019
Regardless of if you’re a data science professional or an IT department who wants to help your company have more successful data science projects, it’s essential to have some data science tools under your belt to avail of when needed. Here are some open-source options to consider.
Pickl AI
NOVEMBER 18, 2024
Critical thinking, attention to detail, and a solid understanding of business concepts further enhance their impact. Tools and Techniques Commonly Used Data Analysts rely on various tools to streamline their work. Software like Microsoft Excel and SQL helps them manipulate and query data efficiently.
Tableau
JUNE 8, 2021
In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. We often hear that organizations have invested in data science capabilities but are struggling to operationalize their machine learning models.
Pickl AI
SEPTEMBER 12, 2024
Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.
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