Data Science Dojo

JANUARY 22, 2023

In this blog, we will discuss exploratory data analysis, also known as EDA, and why it is important. We will also be sharing code snippets so you can try out different analysis techniques yourself. EDA is an iterative process of conglomerative activities which include data cleaning, manipulation and visualization.

Exploratory Data Analysis 370

Exploratory Data Analysis EDA Data Analysis Data Analysis 370

Pickl AI

AUGUST 27, 2024

Introduction In the rapidly evolving field of Data Analysis , the choice of programming language can significantly impact the efficiency, accuracy, and scalability of data-driven projects. This blog will delve into the reasons why Python is essential for Data Analysis, highlighting its key features, libraries, and applications.

Data Analysis 52

Data Analysis Data Analysis Python Data Analyst 52

Pickl AI

MARCH 3, 2023

Moreover, it is important to know the different methods of statistical Analysis and the ways to use them for exploring data, finding patterns and identifying market trends. Read the following blog to find out more about What is Statistical Analysis and the different types and methods of statistical Analysis.

Exploratory Data Analysis 40

Exploratory Data Analysis Hypothesis Testing Data Analyst Data Scientist 40

Pickl AI

JULY 10, 2023

R’s data manipulation capabilities make cleaning and preprocessing data easy before further analysis. · Statistical Analysis: R has a rich ecosystem of packages for statistical analysis. Conclusion From the above blog, you get to learn about R Programming for Data Science and its features.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

AUGUST 29, 2023

Certainly, Data Scientists make use of different statistical modeling techniques that help in finding relationships between data. Focusing on the various statistical models in R with examples, the following blog will help you learn in detail about these techniques and enhance your knowledge. What is Statistical Modeling?

Data Scientist 52

Data Scientist Clustering Data Analysis Data Analysis 52

Pickl AI

JULY 25, 2023

Their primary responsibilities include: Data Collection and Preparation Data Scientists start by gathering relevant data from various sources, including databases, APIs, and online platforms. They clean and preprocess the data to remove inconsistencies and ensure its quality.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 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