Data Science Course By Cybrary and Numyard with Certification

Cybrary and Numyard Data Science courses will start from the basics and take you to the advance level covering all the essential concepts in Data Science and Big Data Analysis.

Data Scientist is a part analyst and part artist. He uses his analytical and technical abilities to extract meaning/insights from massive data sets.

A Data Scientist relies on Analytics, Predictive Models, Stastiscal Analysis and Modelling, Data Mining, and Sentiment Analysis.

Why Data Science ?

• Empowering Management and Officers to make better decisions.

• Directing Actions Based on trends, which in turn help to define goals.

• Best opportunities and good work environment.

• Identification and refining of target audience.

Course Content by Cybrary:

1). Data Science Intro

• Introduction
• What is Data Science?
• Data Science Lifecycle

2). Data Capture

• Data Acquisition 
• Data Entry
• Data Extraction and Analysis

3). Maintain

• Data Cleansing 
• Data Staging
• Data Processing
• Data Architecture 

4). Process

• Data Mining (Part 1 to 3)
• Data Clustering
• Data Summarization

5). Analyze 

• Predictive Analysis
• Regression 
• Text Mining
• Qualitative Data

6). Communicate 

• Data Reporting
• Data Visualization 
• Business Intelligence 
• Decision Making

7). Conclusion 

• Summary of Data Science Lifecycle

Courses offered by Numyard:

• Data Science Accelerator Program
• Statistics foundation for Machine Learning in R
• Linear and Logistic Regression in R
• Data Science Projects

5 Soft Skills for a Data Scientist:

• Ability to work well with others as well as individually.

• Critical thinking and problem-solving skills.

• Communication skills and ability to boil down complex subjects to simple terms.

• Understanding of general business processes, marketing, HR, cyber security and customer service.

• Adaptability adnd propensity to learn new coding languages and programs.

Data Science use cases:

• Facebook - Social Analytics 

• Amazon - Improving E-commerece experience

• Uber - Optimizing Rides

• Airbnb - Improving Searches

• Spotify - Music Recommendation 

You can also learn about the Pandas and the Numpy libraries, which is most widely used in Data Science field.

Prerequisites :
These course starts from scratch, all you need is dedication for learning and exploring.