each year, there is more demand for data science talent, and with it comes a need for more data scientists to fill the ranks.

01

Statistical Programming

02

>>>

>>>

03

Probability & Statistics

05

Mathematics

>>>

06

Machine Learning

>>>

>>>

Data Visualization

04

SQL

>>>

07

Deep Learning

easier and critical data science skill that you can gain is SQL, even if you have no programming experience.

LEARN

Relational database model

SQL commands

Null Value

Indexes

Creating Tables

>>>

>>>

>>>

>>>

>>>

>>>

>>>

Joins

>>>

Primary & Foreign Key

SubQuery

statistics is a fundamental tool of Data Scientists

LEARN

Descriptive Statistics

Probability Theory

Statistical Features

Probability Distributions

Dimensionality Reduction

Over- and Under-Sampling

Bayesian Statistics

>>>

>>>

>>>

>>>

>>>

>>>

>>>

0218

all programming languages, especially for data science, have a non-negligible learning curve to overcome

PYTHON

R Programming

JAVA

SCALA

JULIA

>>>

>>>

>>>

>>>

>>>

Paths

statistical visualization is a key component of being a Data Scientist

Audience Understanding

Storytelling with data

Easy to read & understand

Empowering and accurate

Use clear, concise language to preserve attention

>>>

>>>

>>>

>>>

>>>

Learn

it should come as little surprise that the fundamental competencies data scientists need are a core understanding of Linear Algebra and multivariable calculus.

Linear Regression

Logistic Regression

Matrix Algebra

Calculus

>>>

>>>

>>>

>>>

Learn

FAAANG companies require an expert knowledge Machine Learning knowledge.

Predictive Models

ML Algorithms

CNN Models

Recurrent Neural Network

>>>

>>>

>>>

>>>

Learn

Algorithmic techniques

>>>

Greedy Algorithms

>>>

Dynamic Programming

>>>

Deep Learning has become an important element of data science and TensorFlow is heavily used by data scientists for research and high-level implementation of ML algorithms.

Discrete Mathematics

Neural Architecture

Data Modelling & evaluation

Reinforcement Learning

>>>

>>>

>>>

>>>

Learn

Natural Language Processing

>>>

Transitioning to a career in data science can mean steady employment in a high-paying industry once you have the right skills.

If you’re getting started, practicing and developing these skills through the recommended learning resources will help you build up critical skills to make informed decisions.