Data Science Dojo

MAY 18, 2023

Data Storytelling in Action: This panel will discuss the importance of data visualization in storytelling in different industries, different visualization tools, tips on improving one’s visualization skills, personal experiences, breakthroughs, pressures, and frustrations as well as successes and failures.

Data Science 195

Data Science AI AI SQL 195

Dataconomy

JULY 24, 2023

This involves collecting, cleaning, and analyzing large data sets to identify patterns, trends, and relationships that might otherwise be hidden. Even if you don’t have a degree, you might still be pondering, “How to become a data scientist?” This is where data visualization comes in.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Pickl AI

DECEMBER 25, 2024

Key Takeaways Business Analytics targets historical insights; Data Science excels in prediction and automation. Business Analytics requires business acumen; Data Science demands technical expertise in coding and ML. With added skills, professionals can shift between Business Analytics and Data Science.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

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

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

ODSC - Open Data Science

APRIL 6, 2023

This allows for it to be integrated with many different tools and technologies to improve data management and analysis workflows. One set of tools that are becoming more important in our data-driven world is BI tools. Think of Tableau, Power BI, and QlikView.

SQL 98

SQL Data Scientist Database Data Science 98

Mlearning.ai

AUGUST 10, 2023

The project I did to land my business intelligence internship — CAR BRAND SEARCH ETL PROCESS WITH PYTHON, POSTGRESQL & POWER BI 1. Load Data After the transform process we will load that “final dataframe” into pgadmin4 , pgAdmin is an open-source administration and development platform for PostgreSQL.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Power BI 52

ODSC - Open Data Science

JANUARY 7, 2025

As MLOps become more relevant to ML demand for strong software architecture skills will increase aswell. Machine Learning As machine learning is one of the most notable disciplines under data science, most employers are looking to build a team to work on ML fundamentals like algorithms, automation, and so on.

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

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

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

Mlearning.ai

FEBRUARY 24, 2024

I bet you didn't know these! Continue reading on MLearning.ai »

Power BI 52

Power BI Data Visualization ML ML 52

Mlearning.ai

FEBRUARY 10, 2024

Powerbi has been my go-to tool for creating dashboards, be it at work or during my free time. Continue reading on MLearning.ai »

Power BI 52

Power BI Data Visualization ML ML 52

Dataconomy

APRIL 25, 2023

AI tools can help you with various aspects of presentation design, such as content generation, slide layout, data visualization, speech synthesis, and more. HubSpot can help you create engaging landing pages, email campaigns, social media posts, and chatbots using natural language processing (NLP) and machine learning (ML).

AI 217

AI AI Artificial Intelligence Artificial Intelligence 217

Pickl AI

DECEMBER 4, 2024

This explosive growth is driven by the increasing volume of data generated daily, with estimates suggesting that by 2025, there will be around 181 zettabytes of data created globally. Understanding real-time data processing frameworks, such as Apache Kafka, will also enhance your ability to handle dynamic analytics.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

ODSC - Open Data Science

MARCH 12, 2025

20212024: Interest declined as deep learning and pre-trained models took over, automating many tasks previously handled by classical ML techniques. This shift suggests that while traditional ML is still relevant, its role is now more supportive rather than cutting-edge.

Data Science 52

Data Science Machine Learning Machine Learning Data Engineering 52

Pickl AI

MARCH 7, 2025

The Power of Machine Learning and AI in Data Science Machine Learning (ML) and AI are integral components of Data Science that enable systems to learn from data without explicit programming. Example: Netflix uses ML to recommend shows based on viewing history.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52