Data Literacy

-

 

Asset name and type

Description

“Data Collection and Organization” video

Explore the fundamentals of collecting and organizing data in this instructional video.

“Relational Database Management System” video

Gain insights into the workings of Relational Database Management Systems (RDBMS) through this informative video.

“NoSQL” video

Delve into NoSQL databases and their unique characteristics in this video.

“Data Marts, Data Lakes, ETL, and Data Pipelines” video

Learn about Data Marts, Data Lakes, ETL processes, and Data Pipelines in this comprehensive video.

“Considerations for Choice of Data Repository” video

Discover key factors to consider when selecting a data repository in this video.

“Data Integration Platforms” video

Explore the role and significance of Data Integration Platforms through this enlightening video.

Practice quiz

Test your knowledge of Data Integration Platforms with this practice quiz.

“Lesson Summary” video

Recap the key points from this lesson.

Practice quiz

Take a practice quiz to assess your comprehension of data literacy.

Glossary

Access a comprehensive glossary that defines and clarifies key data literacy terms relevant to the field of data science.

“Summary” reading

Summarize the essential concepts and insights enhancing your understanding of data literacy within the context of data science.

Comments

Post a Comment

Popular posts from this blog

Lila's Journey to Becoming a Data Scientist: Her Working Approach on the First Task

-
  Education and Skill Acquisition: Lila, with an economics background, decides to transition to data science. Enrolls in the IBM Data Science Professional Certificate for comprehensive training. Gains proficiency in statistics, machine learning, and programming languages. Building a Strong Foundation: Develops a deep understanding of data manipulation and visualization using Python libraries. Visualization for Storytelling: Learns to create informative visualizations, aiding in effective communication of findings. Hands-On Experience: Engages in Kaggle competitions and personal data projects for practical experience. Establishes a GitHub profile to showcase her projects and skills. Data Wrangling and Preprocessing: Focuses on data cleaning, preprocessing, and handling missing data and outliers. Communication and Storytelling: Hones data storytelling skills using tools like Matplotlib and Plotly. Networking and Collaboration: Actively participates in data science communities, attend...
Read more

Notes on Hiring for Data Science Teams

-
  Unicorn Myth in Hiring: Companies often seek individuals with a myriad of skills for data science roles. Ideal candidates possess domain-specific knowledge, excel in data analysis, and have strong presentation and storytelling skills. However, finding such a "unicorn" is rare, and the focus should shift to other essential qualities. Resonance with Company DNA: The key is to identify applicants who resonate with the company's values and business domain. While analytics skills can be taught, passion for the business is intrinsic and contributes significantly to productivity. Curiosity Matters: Curiosity is a top priority in hiring for a data science team. Candidates should demonstrate a broad curiosity, showing interest in various aspects of their surroundings beyond just data science. Sense of Humor: A lighthearted approach is crucial, as being too serious may hinder collaboration and creativity. A sense of humor aids in navigating challenges and fosters a positive work ...
Read more

switch functions

-
  Nested IF Function : The  nested IF  function allows you to perform tests with multiple conditions and return different values based on the results of those tests. It is called “nested” because one IF function is embedded inside another IF function. Syntax of a generic nested IF formula: =IF(condition1, result1, IF(condition2, result2, IF(condition3, result3, result4) ) ) Each subsequent IF function is embedded into the  value_if_false  argument of the previous function. SWITCH Function : The  SWITCH  function is a more compact alternative to nested IF statements. It compares an expression against a list of values and returns the result according to the first matching value. Syntax of the SWITCH function: =SWITCH(expression, value1, result1, [default or value2, result2], ... [default or valueN, resultN]) It has four arguments: expression : The value to compare against the list of values. valueN : A value com...
Read more