Data Science Foundation

Data Science Foundation is a high-level Data Science course that covers all core concepts of Data Science. In addition to introducing basic statistics, the foundation courses provide an overview of Machine Learning, hands-on practice with ML algorithms, and applications of Data Science.

Eligibility:

This course is suitable for beginners who aspire to build a career in Data Science or professionals working in technology-enabled domains. There are no mandatory prerequisites for the candidates seeking to enroll in the course; however, it is recommended that the candidates have:

• Basic understanding of data analysis
• Essential mathematics knowledge

Outline:

What is Data Science?

• Business Analytics vs Big Data vs Data Science
• Components of Data science: Venn diagram
• Understanding Data Science Pipeline
• Roles and Jobs in Data Science in the Market
• Data Science Team Structure

Data Science: Area of Study

• Business / Domain Knowledge
• Hacking / Programming Skills
• Statistics
• Machine Learning

Data Sources and Importing techniques

• Reading from existing data from flat files and database
• APIs
• Web Scraping
• Other data gathering methods
• Hands - on importing data

Data Exploratory Analysis

• Basic statistics
• Exploratory graphs
• Exploratory statistics

Data Science Programming

• Programming basics
• Python overview
• R overview
• SQL

Introduction to Applied Statistics

• Hypothesis Testing
• Confidence
• Validating

Introducing Machine Language

• Decision trees
• Ensembles
• k - nearest neighbors (kNN)
• Naive Bayes classifiers
• Artificial neural networks

Visual Analytics and Tableau

• Introduction to Visual Analytics
• Interpretability
• Actionable insights
• Various Graphical Representations

Data Science Career and Conclusion

• Data Science Learning sources
• Data Science relevance in your career
• How should a data scientist’s resume look like
• Tips on a job application

Learning Outcomes:

Successful completion of the Data Science Foundation course will enable a candidate to: 

• Gain in - depth knowledge on core concepts of Data Science and Machine Learning 
• Use examples from a variety of domains to communicate data and results
• Calculate the probability of events based on Machine Learning and statistics
• Be proficient in computational thinking and programming language to analyze and visualize data
• Analyze data critically and draw reliable conclusions

Accreditation:

• Our Data Science Foundation course is accredited by ISO 9001: 2015 and the Knowledge and Human Development Authority (KHDA).

Why Choose Learner's Point:

As one of the leading providers of the Data Science Foundation course, we have extensive knowledge and experience in the field. 

The following advantages are offered by our Data Science Foundation course:

• Our Data Science Foundation course is designed based on real - world scenarios, formulating and evaluating practical requirements
• Our courses strive to provide a reality check and insight into the requirements of a challenging role and how to fulfill it
• We also provide live interactive sessions and hands - on experience through assignments associated with the actual work environment
• To enhance the learning experience of our students we provide organized group sessions and integrated training modules
• Our discrete approach to career guidance enables our students to get successfully placed in renowned organizations