Live code along: How a data science portfolio can help you land your dream job
Skills:
Data Literacy60%
Join Data Science Instructor and Curriculum Architect at DataCamp, Richie Cotton, and Head of Career Services at DataCamp, Jennifer Bricker, for a live code-along. During this live code-along, we'll discuss how a data science portfolio can help you land your dream job in data science. Further, we'll also go through how to build a data science portfolio using DataCamp Workspace.
Publication: https://app.datacamp.com/workspace/w/3aaee831-c9e0-4522-8ae1-295173791583
Let us know what you thought of this Code-Along by filling out this survey: https://forms.gle/6Wa91H22U6xfEsQp7
Slides: https://s3.amazonaws.com/assets.datacamp.com/email/other/data+science+portfolio+-+presentation.pptx.pdf
Here are some additional reads:
SkillsUP Lab Encourages Employers to Invest in Lifelong Learning | DataCamp https://www.datacamp.com/blog/skillsup-lab-encourages-employers-to-invest-in-lifelong-learning
DataFramed, a Data Science Podcast | DataCamp https://www.datacamp.com/blog/introducing-dataframed-a-data-science-podcast
Giving Away 10,000+ DataCamp Subscriptions to Those Who Need Them Most | DataCamp https://www.datacamp.com/blog/giving-away-10000-datacamp-subscriptions-to-those-who-need-them-most
We will organize more iterations like these in the future, so stay tuned on our social media pages, Slack Workspace (https://datacamp-global.slack.com/archives/C029035FU72), and on the DataCamp Webinars page (https://www.datacamp.com/webinars).
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Playlist
Uploads from DataCamp · DataCamp · 0 of 60
← Previous
Next →
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
SQL Server Tutorial: Date manipulation
DataCamp
R Tutorial: Intermediate Interactive Data Visualization with plotly in R
DataCamp
R Tutorial: Adding aesthetics to represent a variable
DataCamp
R Tutorial: Moving Beyond Simple Interactivity
DataCamp
Python Tutorial: Why use ML for marketing? Strategies and use cases
DataCamp
Python Tutorial: Preparation for modeling
DataCamp
Python Tutorial: Machine Learning modeling steps
DataCamp
R Tutorial: The prior model
DataCamp
R Tutorial: Data & the likelihood
DataCamp
R Tutorial: The posterior model
DataCamp
R Tutorial: An Introduction to plotly
DataCamp
R Tutorial: Plotting a single variable
DataCamp
R Tutorial: Bivariate graphics
DataCamp
Python Tutorial: Customer Segmentation in Python
DataCamp
Python Tutorial: Time cohorts
DataCamp
Python Tutorial: Calculate cohort metrics
DataCamp
Python Tutorial: Cohort analysis visualization
DataCamp
R Tutorial: Building Dashboards with flexdashboard
DataCamp
R Tutorial: Anatomy of a flexdashboard
DataCamp
R Tutorial: Layout basics
DataCamp
R Tutorial: Advanced layouts
DataCamp
Python Tutorial: Time Series Analysis in Python
DataCamp
Python Tutorial: Correlation of Two Time Series
DataCamp
Python Tutorial: Simple Linear Regressions
DataCamp
Python Tutorial: Autocorrelation
DataCamp
R Tutorial: The gapminder dataset
DataCamp
R Tutorial: The filter verb
DataCamp
R Tutorial: The arrange verb
DataCamp
R Tutorial: The mutate verb
DataCamp
R Tutorial: What is cluster analysis?
DataCamp
R Tutorial: Distance between two observations
DataCamp
R Tutorial: The importance of scale
DataCamp
R Tutorial: Measuring distance for categorical data
DataCamp
Python Tutorial: Plotting multiple graphs
DataCamp
Python Tutorial: Customizing axes
DataCamp
Python Tutorial: Legends, annotations, & styles
DataCamp
Python Tutorial: Introduction to iterators
DataCamp
Python Tutorial: Playing with iterators
DataCamp
Python Tutorial: Using iterators to load large files into memory
DataCamp
SQL Tutorial: Introduction to Relational Databases in SQL
DataCamp
SQL Tutorial: Tables: At the core of every database
DataCamp
SQL Tutorial: Update your database as the structure changes
DataCamp
Python Tutorial: Classification-Tree Learning
DataCamp
Python Tutorial: Decision-Tree for Classification
DataCamp
Python Tutorial: Decision-Tree for Regression
DataCamp
Python Tutorial: Census Subject Tables
DataCamp
Python Tutorial: Census Geography
DataCamp
Python Tutorial: Using the Census API
DataCamp
R Tutorial: A/B Testing in R
DataCamp
R Tutorial: Baseline Conversion Rates
DataCamp
R Tutorial: Designing an Experiment - Power Analysis
DataCamp
R Tutorial: Introduction to qualitative data
DataCamp
R Tutorial: Understanding your qualitative variables
DataCamp
R Tutorial: Making Better Plots
DataCamp
SQL Tutorial: OLTP and OLAP
DataCamp
SQL Tutorial: Storing data
DataCamp
SQL Tutorial: Database design
DataCamp
Python Tutorial: Introduction to spaCy
DataCamp
Python Tutorial: Statistical Models
DataCamp
Python Tutorial: Rule-based Matching
DataCamp
More on: Data Literacy
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
RAG Evaluation with RAGAS: Measuring Faithfulness, Context Precision, and Recall in Production
Dev.to · Anna Danilec
Chunking for RAG: stop tuning the wrong knob
Dev.to · saurabh naik
Your RAG Pipeline Isn’t Broken. Your Chunks Are.
Medium · LLM
Your RAG Pipeline Isn’t Broken. Your Chunks Are.
Medium · RAG
🎓
Tutor Explanation
DeepCamp AI