Data Science

A collection of essential languages, tools, and frameworks useful to have a good understanding of Data science and analysis fundamentals.

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Python

Python

R

R

SQL

SQL

Tableau

Tableau

Elastic Search

Elastic Search

Kibana

Kibana

🚀 Modules to Learn

Generic
R
Python
SQL
Git
External

Fundamentals

1

These are general knowldge topics that are helpful to data scientists

Data Structures & AlgorithmsYOUR PROGRESS - 0%
Software Development ProcessYOUR PROGRESS - 0%

Languages

2

try to learn SQL and one other

RYOUR PROGRESS - 0%
PythonYOUR PROGRESS - 0%
SQLYOUR PROGRESS - 0%

Collaboration

3

These tools help you work with development teams, git is the most used, but there are others

GitYOUR PROGRESS - 0%

Subversion

Mercurial

SQL Databases

4

pick one here, maybe postgres or MySQL due to popularity

NoSQL Databases

5

Knowledge of any of them will be sufficient

MongoDBYOUR PROGRESS - 0%
ElasticSearchYOUR PROGRESS - 0%
Neo4jYOUR PROGRESS - 0%
Cassandra DBYOUR PROGRESS - 0%
CouchDBYOUR PROGRESS - 0%

Data Warehousing

6

Get familiar with any one of your choosing

Google BigQueryYOUR PROGRESS - 0%

SAP Data Warehouse Cloud

SnowflakeYOUR PROGRESS - 0%
AWS RedshiftYOUR PROGRESS - 0%
Azure Synapse AnalyticsYOUR PROGRESS - 0%

EDA & Data Cleaning

7

Master any of these tools

Apache SparkYOUR PROGRESS - 0%
Microsoft ExcelYOUR PROGRESS - 0%

Polymer Search

Data Visualization

8

Learn one in Python or R and also learn to use a BI tool

Power BIYOUR PROGRESS - 0%
TableauYOUR PROGRESS - 0%

Dundas BI

Looker Studio

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