Pickl AI

NOVEMBER 18, 2024

Summary: Data Analyst certifications are essential for career advancement. Choosing the right certification enhances career growth and opens doors to better opportunities in Data Analytics. Choosing the right certification enhances career growth and opens doors to better opportunities in Data Analytics.

Data Analyst 110

Data Analyst SQL Python AWS 110

Pickl AI

DECEMBER 25, 2024

Summary: Business Analytics focuses on interpreting historical data for strategic decisions, while Data Science emphasizes predictive modeling and AI. Introduction In today’s data-driven world, businesses increasingly rely on analytics and insights to drive decisions and gain a competitive edge.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Data Science Dojo

APRIL 29, 2025

In the world of data, data workflows are essential to providing the ideal insights. Imagine youre the data analyst for a top football club, and after reviewing the performance from the start of the season, you spot a key challenge: the team is creating plenty of chances, but the number of goals does not reflect those opportunities.

Power BI 195

Power BI Analytics Analytics EDA 195

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.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

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. This is where data visualization comes in.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Pickl AI

DECEMBER 16, 2024

Summary : Microsoft Fabric is an end-to-end Data Analytics platform designed for integration, processing, and advanced insights, while Power BI excels in creating interactive visualisations and reports. Both tools complement each other, enabling seamless data management and visualisation. What is Power BI?

Power BI 52

Power BI Analytics Analytics Machine Learning 52

Pickl AI

MAY 7, 2024

Summary: Struggling to translate data into clear stories? This data visualization tool empowers Data Analysts with drag-and-drop simplicity, interactive dashboards, and a wide range of visualizations. What are The Benefits of Learning Tableau for Data Analysts? Enters: Tableau for Data Analyst.

Data Analyst 52

Data Analyst Tableau Data Science Data Analysis 52

Pickl AI

APRIL 18, 2023

In this blog post, we will explore how to get a Data Analyst job as a Fresher. Accordingly, the blog will explore the skills and tools required for a career in data analysis, the importance of building a strong educational foundation, and strategies for getting a job in data analysis as a fresher.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Computer 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

JULY 28, 2023

The career of a Data Analyst is highly lucrative today and with the right skills, your dream job is just around the corner. It is expected that the Data Science market will have more than 11 million job roles in India by 2030, opening up opportunities for you. How to build a Data Analyst Portfolio?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Data Visualization 52

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.

Data Science 52

Data Science Analytics Analytics Machine Learning 52

DrivenData Labs

MARCH 26, 2024

Combining large-scale Earth observation data with other data types enabled many participants to better understand specific issues or locales. For example, honorable mention winner Data Science Nigeria combined satellite imagery with reports of violent incidents from ACLED to better identify areas at high risk of hunger.

Power BI 264

Power BI Data Scientist Python Machine Learning 264

Pickl AI

DECEMBER 4, 2024

Summary: The future of Data Science is shaped by emerging trends such as advanced AI and Machine Learning, augmented analytics, and automated processes. As industries increasingly rely on data-driven insights, ethical considerations regarding data privacy and bias mitigation will become paramount.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

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.

Tableau 52

Tableau Data Science Data Scientist Data Analysis 52

Smart Data Collective

MAY 20, 2019

What skills should business analysts be focused on developing? For quite some time, the data analyst and scientist roles have been universal in nature. By 2020, over 40 percent of all data science tasks will be automated. The popular tools, on the other hand, include Power BI, ETL, IBM Db2, and Teradata.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Role of Data Scientists Data Scientists are the architects of data analysis.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

ODSC - Open Data Science

APRIL 3, 2023

As the sibling of data science, data analytics is still a hot field that garners significant interest. Companies have plenty of data at their disposal and are looking for people who can make sense of it and make deductions quickly and efficiently. As you see, there are a number of reporting platforms as expected.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

ODSC - Open Data Science

APRIL 6, 2023

For budding data scientists and data analysts, there are mountains of information about why you should learn R over Python and the other way around. 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.

SQL 98

SQL Data Scientist Database Data Science 98

ODSC - Open Data Science

APRIL 26, 2023

As you can imagine, data science is a pretty loose term or big tent idea overall. Though just about every industry imaginable utilizes the skills of a data-focused professional, each has its own challenges, needs, and desired outcomes. What makes this job title unique is the “Swiss army knife” approach to data.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

Pickl AI

SEPTEMBER 12, 2023

Data Analyst: Data Analysts work with data to extract meaningful insights and support decision-making processes. They gather, clean, analyze, and visualize data using tools like Excel, SQL, and data visualization software. Why Pursue a Course in Data Science?

Data Science 52

Data Science Data Analyst Machine Learning Machine Learning 52

Pickl AI

OCTOBER 17, 2024

Summary: Descriptive Analytics tools transform historical data into visual reports, helping businesses identify trends and improve decision-making. Popular tools like Power BI, Tableau, and Google Data Studio offer unique features for Data Analysis.

Analytics 52

Analytics Analytics Power BI Tableau 52

Mlearning.ai

DECEMBER 4, 2023

Generated with Bing AI Unlocking the power of data doesn't require a data analyst certification; it's a skill accessible to anyone with data access. Grasp the Essence of Your Data Dig deeper than the surface — understand the intricacies of each column and unravel the connections between tables.

Power BI 52

Power BI Data Analysis Data Analysis Tableau 52

Pickl AI

JANUARY 9, 2025

By understanding the Operations Analyst’s evolving duties, aspiring professionals and organisations can align their goals to meet the demands of modern operations management effectively. Key Takeaways Operations Analysts optimise efficiency through data-driven decision-making.

Power BI 52

Power BI Machine Learning Machine Learning Tableau 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 Data Analysis Data Analysis Hypothesis Testing 52

phData

MARCH 27, 2024

Snowflake’s SnowPro Advanced Certifications assess advanced Snowflake knowledge and skills relating to five data science roles. The SnowPro Advanced Data Analyst Certification tests the advanced Snowflake knowledge and skills of Data Analysts, ELT Developers, and BI Specialists.

Data Analyst 52

Data Analyst Data Engineering Data Engineering Data Engineer 52

Alation

JANUARY 17, 2023

Powered by cloud computing, more data professionals have access to the data, too. Data analysts have access to the data warehouse using BI tools like Tableau; data scientists have access to data science tools, such as Dataiku. Better Data Culture. Business analysts.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Pickl AI

MAY 29, 2024

Techniques such as hover-over tooltips, clickable elements, and filterable controls enhance user engagement and facilitate a deeper understanding of the data. Tools like Tableau, Power BI, and D3.js Power BI A powerful and versatile tool from Microsoft, Power BI integrates seamlessly with other Microsoft products like Excel.

Data Visualization 52

Data Visualization Analytics Analytics Power BI 52

Mlearning.ai

MAY 3, 2023

ML/AI Enthusiasts, and Learners Citizen Data Scientists who prefer a low code solution for quick testing. Experienced Data Scientists who want to try out different use-cases as per their business context for quick prototyping. Data Science Professionals and Consultants involved in building Proof-Of-Concept (POC) projects.

Python 52

Python Natural Language Processing Data Scientist Citizen Data Scientist 52

Pickl AI

DECEMBER 6, 2024

Price Optimization Software Tools like PROS or Vendavo use advanced algorithms to analyse historical sales data and predict optimal prices based on various factors such as demand elasticity and competitor actions.

Analytics 52

Analytics Analytics Data Analysis Data Analysis 52

Pickl AI

JULY 18, 2024

Read Blogs: Crucial Statistics Interview Questions for Data Science Success. MongoDB is a NoSQL database that handles large-scale data and modern application requirements. Unlike traditional relational databases, MongoDB stores data in flexible, JSON-like documents, allowing for dynamic schemas. What is MongoDB?

Database 52

Database SQL Data Analyst Database Administration 52

Dataconomy

MARCH 5, 2025

As the demand for data expertise continues to grow, understanding the multifaceted role of a data scientist becomes increasingly relevant. What is a data scientist? A data scientist integrates data science techniques with analytical rigor to derive insights that drive action.

Data Scientist 91

Data Scientist Citizen Data Scientist Exploratory Data Analysis Machine Learning 91

Dataconomy

MAY 26, 2025

Data analytics Data analytics encompasses a broader scope, including data analysis not necessarily tied to business insights. Business analytics is more focused on driving business decisions based on analyzed data. Data science Data science employs statistical methods and custom coding.

Analytics 91

Analytics Analytics Data Analysis Data Analysis 91