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? Finally, SQL’s window function. Let’s briefly dive into each bit.

SQL 98

SQL Data Scientist Database Data Science 98

Pickl AI

AUGUST 28, 2023

Power BI Heatmap: Heatmap in Power BI refers to the type of custom visualisation that businesses analysts utilise for showcasing the relationship between two variables on a map in different colour patches. It offers a wide range of features that make it a popular choice for data professionals, analysts, and organizations.

Power BI 52

Power BI Data Analysis Data Analysis Data Visualization 52

phData

JULY 13, 2023

Power BI is a user-friendly and powerful data visualization tool that enables individuals to easily create interactive reports and dashboards as well as centralized datasets. Table data is filtered by using Power Query date/time parameters with the reserved, case-sensitive names RangeStart and RangeEnd.

Power BI 52

Power BI SQL Database Azure 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

Data Science Dojo

JULY 3, 2024

Data science bootcamps are intensive short-term educational programs designed to equip individuals with the skills needed to enter or advance in the field of data science. They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Analytics Vidhya

MAY 21, 2023

Introduction Not a single day passes without us getting to hear the word “data.” This is precisely what happens in data analytics. People equipped with the […] The post 10 Best Data Analytics Projects appeared first on Analytics Vidhya. It is almost as if our lives revolve around it. Don’t they?

Analytics 357

Analytics Analytics Power BI Hadoop 357

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

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.

Data Science 328

Data Science ML ML Analytics 328

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.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

Towards AI

APRIL 2, 2024

Steps Involved in the Data Analysis Process (General Steps to Follow as a Data Analyst) Gather the data in any spreadsheet or database and gain a basic understanding of the data that you have using any statistical techniques or by writing SQL Queries. In this process, I am going to use Power BI and Excel.

Data Analysis 102

Data Analysis Data Analysis Data Analyst Power BI 102

Dataconomy

JULY 28, 2023

These tools offer a wide range of functionalities to handle complex data preparation tasks efficiently. The tool also employs AI capabilities for automatically providing attribute names and short descriptions for reports, making it easy to use and efficient for data preparation.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Mlearning.ai

APRIL 29, 2023

Before we dive right in, you’d totally love to check out the deliverables that came with this project (a PowerPoint presentation and a very insightful Power BI dashboard). And I hope that after you’ve gone through my presentation here , you’ll want to invest in Data Bank. See the links below! Now, let’s get started. ?

SQL 52

SQL Power BI Cloud Data Data Analysis 52

Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. And you should have experience working with big data platforms such as Hadoop or Apache Spark. Data scientists will typically perform data analytics when collecting, cleaning and evaluating data.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

ODSC - Open Data Science

APRIL 3, 2023

As you’ll see below, however, a growing number of data analytics platforms, skills, and frameworks have altered the traditional view of what a data analyst is. Data Presentation: Communication Skills, Data Visualization Any good data analyst can go beyond just number crunching.

Analytics 52

Analytics Analytics Data Analyst Data Science 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. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Mlearning.ai

MARCH 15, 2023

Responsibilities of a Data Analyst Data analysts, on the other hand, help businesses and organizations make data-driven decisions through their analytical skills. Their job is mainly to collect, process, analyze, and create detailed reports on data to meet business needs. Basic programming knowledge in R or Python.

Data Science 52

Data Science Analytics Analytics Data Analyst 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.

Data Visualization 52

Data Visualization SQL Data Analyst Data Analysis 52

Pickl AI

JUNE 12, 2023

A Data Scientist requires to be able to visualize quickly the data before creating the model and Tableau is helpful for that. Tableau is useful for summarising the metrics of success. Disadvantages of Tableau for Data Science However, apart from the advantages, Tableau for Data Science also has its own disadvantages.

Tableau 52

Tableau Data Science Data Scientist Data Analysis 52

Pickl AI

JULY 28, 2023

Data Cleaning is a crucial step in any data analysis process, and it’s important to showcase your ability to handle messy data effectively. Data Visualization: Create compelling and informative Data Visualizations. Visual Appeal: Use clean and visually appealing Data Visualizations.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Data Visualization 52

ODSC - Open Data Science

APRIL 26, 2023

Though scripted languages such as R and Python are at the top of the list of required skills for a data analyst, Excel is still one of the most important tools to be used. Because they are the most likely to communicate data insights, they’ll also need to know SQL, and visualization tools such as Power BI and Tableau as well.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 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

DataSeries

AUGUST 15, 2024

Practice Coding and Algorithmic Problem-Solving Data engineers often encounter complex problems that need coding and algorithmic data engineering skills to solve efficiently. Practice coding with the help of languages that are used in data engineering like Python, SQL, Scala, or Java.

Data Engineering 40

Data Engineering Data Engineering Data Engineering Data Engineer 40

Pickl AI

JULY 30, 2024

The University of Nottingham offers a Master of Science in Bioinformatics, which is aimed at students with a background in biological sciences who wish to develop skills in bioinformatics, statistics, computer programming , and Data Analytics. Skills Develop proficiency in programming languages like Python , R, and SQL.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Power BI 52

Pickl AI

FEBRUARY 29, 2024

Exploring the basics of Tableau detailed steps highlighting the use of Data Blending in Tableau: Connect to data sources Begin by launching Tableau Desktop and connecting to the datasets you intend to blend. Blending is used in Tableau when data from different sources or tables need combined analysis without merging at the source.

Tableau 52

Tableau Power BI Data Analysis Data Analysis 52

Dataconomy

MARCH 24, 2023

Database management:  A BI professional should be able to design and manage databases, including data modeling, ETL processes, and data integration. Data visualization:  A BI professional should be able to create reports, dashboards, and visualizations that communicate complex data insights to stakeholders.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

Database management:  A BI professional should be able to design and manage databases, including data modeling, ETL processes, and data integration. Data visualization:  A BI professional should be able to create reports, dashboards, and visualizations that communicate complex data insights to stakeholders.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Pickl AI

APRIL 18, 2023

How to Become a Data Analyst with No Experience? Skill development for Data Analysis Technical Knowledge: Python, R, SQL, and SAS are just a few of the programming languages that a data analyst must be proficient in. A data analyst must also be skilled in Excel, Tableau, and other data visualization software.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Computer Science 52

Pickl AI

JANUARY 28, 2025

This layer is critical as it transforms raw data into actionable insights that drive business decisions. Data Visualization Data visualization tools present analyzed data in an easily understandable format. These tools work together to facilitate efficient data management and analysis processes.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

ODSC - Open Data Science

JANUARY 7, 2025

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 is expected, youll need to go beyond that. Employers arent just looking for people who can program.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Pickl AI

APRIL 28, 2023

Here is the tabular representation of the same: Technical Skills Non-technical Skills Programming Languages: Python, SQL, R Good written and oral communication Data Analysis: Pandas, Matplotlib, Numpy, Seaborn Ability to work in a team ML Algorithms: Regression Classification, Decision Trees, Regression Analysis Problem-solving capability Big Data: (..)

Data Scientist 52

Data Scientist Data Science Hypothesis Testing Decision Trees 52

Pickl AI

JULY 12, 2023

Data Manipulation Tools Various tools and technologies are available to facilitate data manipulation tasks. SQL (Structured Query Language) SQL is a standard language for managing relational databases. Also, it provides powerful commands for querying, filtering, sorting, and aggregating data.

Data Analysis 52

Data Analysis Data Analysis Clean Data Database 52

Pickl AI

AUGUST 9, 2024

NoSQL Databases These databases, such as MongoDB, Cassandra, and HBase, are designed to handle unstructured and semi-structured data, providing flexibility and scalability for modern applications. Understanding the differences between SQL and NoSQL databases is crucial for students. js for creating interactive visualisations.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

SEPTEMBER 5, 2024

Data Visualization: Ability to create compelling visualisations to communicate insights effectively. However, a master’s degree or specialised Data Science or Machine Learning courses can give you a competitive edge, offering advanced knowledge and practical experience.

Azure 52

Azure Data Scientist Data Science Machine Learning 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

Alation

JANUARY 17, 2023

A legacy data stack usually refers to the traditional relational database management system (RDBMS), which uses a structured query language (SQL) to store and process data. While an RDBMS can still be used in a modern data stack, it is not as common because it is not as well-suited for managing big data.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Women in Big Data

DECEMBER 9, 2024

There is a plethora of BI tools available in the market today, with new ones being added yearly. 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.

Big Data 52

Big Data Big Data Power BI Tableau 52