Pickl AI

JUNE 5, 2025

Key Takeaways Data scientists in India require strong programming and machine learning skills for diverse industries. Big data and cloud technologies are increasingly important in Indian data science roles. SQL remains crucial for database querying, especially given India’s large IT services ecosystem.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

Smart Data Collective

APRIL 14, 2021

Advancement in big data technology has made the world of business even more competitive. The proper use of business intelligence and analytical data is what drives big brands in a competitive market. This high-end data visualization makes data exploration more accessible to end-users.

Business Intelligence 138

Business Intelligence Business Intelligence Tableau SQL 138

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.

Data Scientist 195

Data Scientist Data Science Machine Learning Machine Learning 195

Women in Big Data

DECEMBER 9, 2024

Introduction In the rapidly evolving landscape of data analytics, Business Intelligence (BI) tools have become indispensable for organizations seeking to leverage their big data stores for strategic decision-making. Lookers strength lies in its ability to connect to a wide variety of data sources.

Big Data 52

Big Data Big Data Power BI Tableau 52

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.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Tableau

MARCH 29, 2021

In Tableau 2021.1, we’ve added new connectors to help our customers access more data in Azure than ever before: an Azure SQL Database connector and an Azure Data Lake Storage Gen2 connector. As our customers increasingly adopt the cloud, we continue to make investments that ensure they can access their data anywhere.

Azure 52

Azure Tableau Data Lakes SQL 52

Pickl AI

AUGUST 9, 2024

Summary: A comprehensive Big Data syllabus encompasses foundational concepts, essential technologies, data collection and storage methods, processing and analysis techniques, and visualisation strategies. Fundamentals of Big Data Understanding the fundamentals of Big Data is crucial for anyone entering this field.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Dataconomy

JULY 24, 2023

” Data management and manipulation Data scientists often deal with vast amounts of data, so it’s crucial to understand databases, data architecture, and query languages like SQL. Skills in manipulating and managing data are also necessary to prepare the data for analysis.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Smart Data Collective

AUGUST 10, 2021

Data can help them create strategies based on these powerful forces. The good news is that it’s never been easier to collect and organize data. In the early days of analytics, only the largest companies could afford to leverage big data. Data Science: Harnessing the Power of Big Data.

Analytics 132

Analytics Analytics Data Science Tableau 132

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!

Tableau 52

Tableau Data Science Data Scientist Data Analysis 52

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 Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Data Science Blog

NOVEMBER 15, 2023

The trend towards powerful in-house cloud platforms for data and analysis ensures that large volumes of data can increasingly be stored and used flexibly. New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications.

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

Pickl AI

DECEMBER 25, 2024

Key Tools and Techniques Business Analytics employs various tools and techniques to process and interpret data effectively. Dashboards, such as those built using Tableau or Power BI , provide real-time visualizations that help track key performance indicators (KPIs). Data Scientists require a robust technical foundation.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

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.

Power BI 52

Power BI Tableau Business Intelligence Business Intelligence 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. That’s where SQL comes in, enabling data analysts to extract, manipulate and analyse data from multiple sources.

Data Analyst 52

Data Analyst SQL Data Analysis Data Analysis 52

Tableau

JUNE 8, 2021

EMEA Field CTO, Tableau. 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. The division between data lakes and data warehouses is stifling innovation. Francois Zimmermann. Brian Dirking.

Tableau 52

Tableau Data Lakes Data Warehouse SQL 52

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.

SQL 52

SQL Data Science Database Data Analysis 52

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.

Data Science 400

Data Science Machine Learning Machine Learning Analytics 400

Data Science Dojo

APRIL 18, 2023

First, the amount of data available to organizations has grown exponentially in recent years, creating a need for professionals who can make sense of it. Second, advancements in technology, such as big data and machine learning, have made it easier and more efficient to analyze data.

Data Analyst 195

Data Analyst Data Visualization Data Analysis Data Analysis 195

Smart Data Collective

OCTOBER 28, 2022

The benefits of investing in big data cannot possibly be understated. A report by McKinsey showed that data-driven companies have 15-25% higher earnings before interest, taxes, depreciation and amortization. As we pointed out before, Google is one of the many companies that uses big data to drive its decision making processes.

Big Data 126

Big Data Big Data Data Analysis Data Analysis 126

Data Science Dojo

JULY 3, 2024

Data Visualization : Techniques and tools to create visual representations of data to communicate insights effectively. Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught. Hence, data science bootcamps are well-positioned to meet the increasing demand for data science skills.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

ODSC - Open Data Science

FEBRUARY 2, 2023

Computer Science and Computer Engineering Similar to knowing statistics and math, a data scientist should know the fundamentals of computer science as well. While knowing Python, R, and SQL are expected, you’ll need to go beyond that. Big Data As datasets become larger and more complex, knowing how to work with them will be key.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

Smart Data Collective

OCTOBER 14, 2019

It removes the need to load the data, maintain schemas or transform the data before performing queries. Users only need to include the respective path in the SQL query to get to work. Also, no matter your current skill level with big data analysis, Apache Drill tries to remove some of the obstacles that people often face.

Data Science 94

Data Science Big Data SQL Big Data 94

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason. But it’s not the only skill necessary to thrive.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Smart Data Collective

JULY 22, 2019

Automating your data processing routine can offer your business a lot of benefits. BI tools use the Big Data approach and apply it to your company data. Cluvio is a popular cloud analytics platform, created for the needs of startups and data-driven teams. It can analyze practically any size of data.

Business Intelligence 103

Business Intelligence Business Intelligence Power BI Tableau 103

Alation

FEBRUARY 20, 2020

The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data. TrustCheck integrates with the Alation Data Catalog and appears directly within the Alation Compose application as users write queries. With TrustCheck, Alation users can endorse a trusted data source.

Data Governance 52

Data Governance Tableau Analytics Analytics 52

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!

Tableau 52

Tableau Big Data Big Data SQL 52

ODSC - Open Data Science

APRIL 3, 2023

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. Competence in data quality, databases, and ETL (Extract, Transform, Load) are essential. Cloud Services: Google Cloud Platform, AWS, Azure.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Mlearning.ai

MARCH 15, 2023

Data professionals are in high demand all over the globe due to the rise in big data. The roles of data scientists and data analysts cannot be over-emphasized as they are needed to support decision-making. This article will serve as an ultimate guide to choosing between Data Science and Data Analytics.

Data Science 52

Data Science Analytics Analytics Data Analyst 52

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.

Power BI 52

Power BI Tableau Data Analysis Data Analysis 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 Engineering Data Engineer 52

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

Data Science 52

Data Science Machine Learning Machine Learning Python 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. The ubiquity of big data in industry requires that even non-technical candidates have a basic understanding of mathematical modeling.

Analytics 52

Analytics Analytics Data Science Big Data 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

And you should have experience working with big data platforms such as Hadoop or Apache Spark. Additionally, data science requires experience in SQL database coding and an ability to work with unstructured data of various types, such as video, audio, pictures and text.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

MAY 16, 2023

For example, if you are a Data Scientist, then you should add keywords like Python, SQL, Machine Learning, Big Data and others. These are some of the key skills that one needs to have if you are eyeing a fulfilling career as a Data Scientist. Highlight Your Experience Don’t miss this part. Wrapping it up !!!

Data Scientist 52

Data Scientist Data Science SQL Python 52

Smart Data Collective

MAY 20, 2021

Business analysts are concerned with looking at data and events, making sure negative events do not occur again and choosing and implementing solutions to ensure that this is the case. This is a field in which demand is increasing as many companies turn to using big data analysis , and they require experts who know how to do this.

Analytics 134

Analytics Analytics Tableau Data Scientist 134

Pickl AI

JANUARY 13, 2025

Key Skills Expertise in statistical analysis and data visualization tools. Proficiency in programming languages like Python and SQL. They play a crucial role in shaping business strategies based on data insights. Key Skills Proficiency in data visualization tools (e.g., Familiarity with SQL for database management.

AI 52

AI AI Machine Learning Machine Learning 52