Top 7 YouTube Courses on Data Analytics
KDnuggets
FEBRUARY 25, 2022
Learn data analytics by taking the best YouTube courses. These courses will cover data analysis with Python, R, SQL, PowerBI, Tableau, Excel, and SPSS.
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Data Science Dojo
OCTOBER 31, 2024
For instance, Berkeley’s Division of Data Science and Information points out that entry level data science jobs remote in healthcare involves skills in NLP (Natural Language Processing) for patient and genomic data analysis, whereas remote data science jobs in finance leans more on skills in risk modeling and quantitative analysis.
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Tableau
DECEMBER 1, 2021
Technical Fellow, Tableau. Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. I am proud to announce that my History of Tableau Innovation viz is now published to Tableau Public. Jock Mackinlay. Bronwen Boyd.
Data Science Dojo
AUGUST 27, 2024
Python, R, and SQL: These are the most popular programming languages for data science. Libraries and Tools: Libraries like Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, and Tableau are like specialized tools for data analysis, visualization, and machine learning. It’s like deciphering a secret code.
Tableau
JULY 29, 2021
At Tableau, we have had a front-row seat to the rising need for data skills across all organizations, all communities, and groups. From marketing, operations, to sales and all aspects of leadership - everyone needs to know how to read and communicate with data. July 29, 2021 - 11:28pm. July 30, 2021. To mention a few: .
Tableau
DECEMBER 1, 2021
Technical Fellow, Tableau. Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. I am proud to announce that my History of Tableau Innovation viz is now published to Tableau Public. Jock Mackinlay. Bronwen Boyd.
ODSC - Open Data Science
APRIL 6, 2023
Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL. But why is SQL, or Structured Query Language , so important to learn? Let’s start with the first clause often learned by new SQL users, the WHERE clause.
Tableau
AUGUST 21, 2023
Kuber Sharma Director, Product Marketing, Tableau Kristin Adderson August 22, 2023 - 12:11am August 22, 2023 Whether you're a novice data analyst exploring the possibilities of Tableau or a leader with years of experience using VizQL to gain advanced insights—this is your list of key Tableau features you should know, from A to Z.
Data Science Dojo
AUGUST 27, 2024
It’s like the detective’s toolkit, providing the tools to analyze and interpret data. Think of it as the ability to read between the lines of the data and uncover hidden patterns. Data Analysis and Interpretation: Data scientists use statistics to understand what the data is telling them.
Tableau
APRIL 12, 2022
Product Marketing Associate, Tableau. Tableau 2022.1 introduces a wide range of capabilities designed to improve every stage of data analysis—from data preparation to dashboard consumption. This allows you to access the combined wisdom of Tableau’s robust community without ever having to leave the platform.
Tableau
APRIL 12, 2022
Product Marketing Associate, Tableau. Tableau 2022.1 introduces a wide range of capabilities designed to improve every stage of data analysis—from data preparation to dashboard consumption. This allows you to access the combined wisdom of Tableau’s robust community without ever having to leave the platform.
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.
Pickl AI
NOVEMBER 18, 2024
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. They use data visualisation tools like Tableau and Power BI to create compelling reports.
Data Science Dojo
APRIL 18, 2023
The good news is that you don’t need to be an engineer, scientist, or programmer to acquire the necessary data analysis skills. Whether you’re located anywhere in the world or belong to any profession, you can still develop the expertise needed to be a skilled data analyst. Who are data analysts?
Pickl AI
FEBRUARY 11, 2025
Summary: Tableau simplifies data visualisation with interactive dashboards, AI-driven insights, and seamless data integration. While learning about the tools, I found Tableau to be helpful in showcasing the insights of my work. This blog explores essential Tableau capabilities, helping users maximise their potential.
Dataconomy
MARCH 5, 2025
Qualifications and required skills A robust educational foundation and skill set are essential for data scientists: Educational background: Most data scientists have a bachelor’s degree in a related field, with a substantial portion holding masters degrees. Machine learning: Developing models that learn and adapt from data.
Pickl AI
JUNE 12, 2023
Tableau is a data visualisation software helping you to generate graphics-rich reporting and analysing enormous volumes of data. With the help of Tableau, organisations have been able to mine and gather actionable insights from granular sources of data. Let’s read the blog to find out!
Pickl AI
JANUARY 25, 2023
The easiest skill that a Data Science aspirant might develop is SQL. Management and storage of Data in businesses require the use of a Database Management System. This blog would an introduction to SQL for Data Science which would cover important aspects of SQL, its need in Data Science, and features and applications of SQL.
Pickl AI
FEBRUARY 29, 2024
Summary: Data Blending in Tableau is helpful in deriving multiple sources to gain comprehensive insights. It allows analysts to merge datasets seamlessly, leveraging common fields or dimensions for correlation analysis. Understanding the nuances of Data Blending in Tableau is crucial for extracting meaningful insights.
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. That’s where SQL comes in, enabling data analysts to extract, manipulate and analyse data from multiple sources.
Pickl AI
NOVEMBER 5, 2024
Summary: Data Visualisation is crucial to ensure effective representation of insights tableau vs power bi are two popular tools for this. This article compares Tableau and Power BI, examining their features, pricing, and suitability for different organisations. What is Tableau? billion in 2023. from 2022 to 2028.
Pickl AI
APRIL 3, 2025
Summary: Data Analysis focuses on extracting meaningful insights from raw data using statistical and analytical methods, while data visualization transforms these insights into visual formats like graphs and charts for better comprehension. Is Data Analysis just about crunching numbers?
How to Learn Machine Learning
APRIL 26, 2025
Data can be generated from databases, sensors, social media platforms, APIs, logs, and web scraping. Data can be in structured (like tables in databases), semi-structured (like XML or JSON), or unstructured (like text, audio, and images) form. Deployment and Monitoring Once a model is built, it is moved to production.
Tableau
JULY 29, 2021
At Tableau, we have had a front-row seat to the rising need for data skills across all organizations, all communities, and groups. From marketing, operations, to sales and all aspects of leadership - everyone needs to know how to read and communicate with data. July 29, 2021 - 11:28pm. July 30, 2021. To mention a few: .
ODSC - Open Data Science
FEBRUARY 24, 2023
There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. These tools will help make your initial data exploration process easy.
Dataconomy
MARCH 6, 2025
User data analysis Chattermill is made for apps with tons of users, like BlaBlaCar and Uber. Data visualization For a long time, Tableau led the industry in data visualization. One table but multiple data presentation options Take Tomat.ai , for example. Meeting minutes from Neuroslav 3.
Data Science Blog
NOVEMBER 15, 2023
The lower part of the iceberg is barely visible to the normal analyst on the tool interface, but is essential for implementation and success: this is the Event Log as the data basis for graph and data analysis in Process Mining. The creation of this data model requires the data connection to the source system (e.g.
Smart Data Collective
OCTOBER 28, 2022
Companies with strong data-driven cultures tend to have top managers who lead by example and set expectations that decisions must be anchored in data. This is why more business managers are enrolling in data analysis courses to equip themselves with sufficient knowledge in current industry practices surrounding data analytics.
Analytics Vidhya
DECEMBER 19, 2022
Introduction The world is transforming by AI, ML, Blockchain, and Data Science drastically, and hence its community is growing rapidly. So, to provide our community with the knowledge they need to master these domains, Analytics Vidhya has launched its DataHour sessions.
Pickl AI
MARCH 19, 2025
Summary: Data engineering tools streamline data collection, storage, and processing. Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Learning these tools is crucial for building scalable data pipelines.
Data Science Dojo
JULY 3, 2024
Here’s a list of key skills that are typically covered in a good data science bootcamp: Programming Languages : Python : Widely used for its simplicity and extensive libraries for data analysis and machine learning. R : Often used for statistical analysis and data visualization.
Pickl AI
MARCH 3, 2025
Summary: Business Intelligence Analysts transform raw data into actionable insights. They use tools and techniques to analyse data, create reports, and support strategic decisions. Key skills include SQL, data visualization, and business acumen. Introduction We are living in an era defined by data.
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.
Smart Data Collective
OCTOBER 14, 2019
Users only need to include the respective path in the SQL query to get to work. In addition to supporting standard SQL, Apache Drill lets you keep depending on business intelligence tools you may already use, such as Qlik and Tableau. It allows secure and interactive SQL analytics at the petabyte scale. ParaView.
Pickl AI
FEBRUARY 23, 2025
Apache Spark Apache Spark is a unified analytics engine for Big Data processing, with built-in modules for streaming, SQL, Machine Learning , and graph processing. Key Features : Speed : Spark processes data in-memory, making it up to 100 times faster than Hadoop MapReduce in certain applications.
Pickl AI
NOVEMBER 18, 2024
Summary: Power BI alternatives like Tableau, Qlik Sense, and Zoho Analytics provide businesses with tailored Data Analysis and Visualisation solutions. Selecting the right alternative ensures efficient data-driven decision-making and aligns with your organisation’s goals and budget.
Pickl AI
APRIL 21, 2025
Exploring the Ocean If Big Data is the ocean, Data Science is the multifaceted discipline of extracting knowledge and insights from data, whether it’s big or small. It’s an interdisciplinary field that blends statistics, computer science, and domain expertise to understand phenomena through data analysis.
Women in Big Data
DECEMBER 9, 2024
Through a comparative analysis of some of the leading BI tools: Google Looker, Microsoft Power BI, Tableau and Qlik Sense, discover which BI solution best fits your organization’s data analytics needs to empower informed decision-making. Lookers strength lies in its ability to connect to a wide variety of data sources.
Pickl AI
MARCH 31, 2023
Here is a look at the various data job profiles along with the salary: Junior Data Analyst: $53-58K Data Analyst: $75K Data Analytics Consultant: $77K Senior Data Analyst: $97K Data Analytics Manager: $89K Wider Application – Presently, Data Analysis finds applications across the industry spectrum.
Pickl AI
APRIL 18, 2023
Data Analysis is the process of collecting, cleaning, transforming, and modeling data to extract useful information and insights. In today’s data-driven world, data analysis has become an essential skill for organizations across industries to make informed decisions and improve business outcomes.
Tableau
APRIL 3, 2024
Ateken Abla April 3, 2024 - 10:38pm Danika Harrod Marketing Manager, Community Content & Events, Tableau Chris Westlake fell in love with Tableau from the get-go. “I It was the fun crossover between data and creativity that I didn’t even realize I was looking for. I love Tableau User Groups!
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. Data Science Course by Pickl.AI
Alation
FEBRUARY 20, 2020
TrustCheck integrates with the Alation Data Catalog and appears directly within the Alation Compose application as users write queries. TrustCheck also integrates with third-party business intelligence tools through our native APIs and is immediately available in Alation V R1 with Tableau Server and Salesforce Einstein analytics.
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.
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