Certificate in Data Science
Overview of Data Science
- Data science is a multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems.
- It is ultimately about using data in creative ways to generate business value
- A Data Scientist does the exploratory analysis to discover insights from the data
- So, Data Science is primarily used to make decisions and predictions
Data Science – The Future
- 28% Rise in demand for Data Scientists by 2020
- 3 out of 5 Highest paying professionals are related to Data Science and AI
- 36% Higher base salary is what the Data scientists earn compared to other analytics professionals.
IT Industry A Changing Scenario
- The global IT services market is expected to grow by over $1160 Billion in 2020
- Worldwide IT spending is forecast to reach $2.7 Trillion in 2020
- This shows the immense potential in the IT industry for a lucrative career
- The IT industry is experiencing a revolution with streams like Data Science, Machine Learning, Artificial Intelligence, and Software Testing coming up rapidly
- These are the jobs of the future and will continue to be in great demand
Software Trained: MS Office, Python, MongoDB, R Studio
Job Profile: Entry Level Data Analyst
Learning Objectives:
- Work with spreadsheets and analyze data using MS Excel
- Learn the basics of social media, mobile technology, analytics, and cloud computing along with an understanding of their interconnectivity
- Learn the basic concepts of object-oriented programming
- Learn how to program with the popular development language, Python
- Build Web applications using Python
- Learn MongoDB concepts, features, architecture, and data model, and how to install, configure and monitor open-source databases
- Master data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language
- Develop a real-world application using the R language
Study Materials: Students will get a printable softcopy through Onlivarsity.com.
Entry Requirements: Since these are professional qualifications in programming, a person should have knowledge of basic computer applications and an understanding of programming languages like C, C++, and Java.
Award of Certifications: After the completion/passing of each exam module, the candidate will get certification from APTECH Computer Education, India.
Class Schedule: we will be running 2 hours 3 to 4 days in a week.
Apply
| Modules – Data Science | Duration |
| Financial Data Analysis with MS Excel | 16 |
| Emerging Job Areas-SMAC | 8 |
| OOP Concepts | 16 |
| Python Programming | 40 |
| Web Application Development using Python | 40 |
| Large Data Management (MongoDB) | 40 |
| R Programming | 40 |
| Project (R) | 2 |
| Total | 202 |
CERTIFICATE IN DATA SCIENCE – Course Overview
Overview
What is Data Science?
- Data science is a multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems.
- It is ultimately about using data in creative ways to generate business value
- A Data Scientist does the exploratory analysis to discover insights from the data
- So, Data Science is primarily used to make decisions and predictions
Data Science – The Future
- 28% Rise in demand for Data Scientists by 2020
- 3 out of 5 Highest paying professionals are related to Data Science and AI
- 36% Higher base salary is what the Data scientists earn compared to other analytics professionals.
IT Industry A Changing Scenario
- The global IT services market is expected to grow by over $1160 Billion in 2020
- Worldwide IT spending is forecast to reach $2.7 Trillion in 2020
- This shows the immense potential in the IT industry for a lucrative career
- The IT industry is experiencing a revolution with streams like Data Science, Machine Learning, Artificial Intelligence, and Software Testing coming up rapidly
- These are the jobs of the future and will continue to be in great demand
Software Trained: MS Office, Python, MongoDB, R Studio
Job Profile: Entry Level Data Analyst
Learning Objectives:
- Work with spreadsheets and analyze data using MS Excel
- Learn the basics of social media, mobile technology, analytics, and cloud computing along with an understanding of their interconnectivity
- Learn the basic concepts of object-oriented programming
- Learn how to program with the popular development language, Python
- Build Web applications using Python
- Learn MongoDB concepts, features, architecture, and data model, and how to install, configure and monitor open-source databases
- Master data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language
- Develop a real-world application using R language
Study Materials: Students will get a printable softcopy through Onlivarsity.com.
Entry Requirements: Since these are professional qualifications in programming, a person should have knowledge of basic computer applications and an understanding of programming languages like C, C++, and Java.
Award of Certifications: After the completion/passing of each exam module, the candidate will get certification from APTECH Computer Education, India.
Class Schedule: we will be running 2 hours 3 to 4 days a week.
Apply now:http://edulink.ac.ke/apply-now/
CERTIFICATE OF PROFICIENCY IN DATA SCIENCE – Course Modules
| Modules | Duration |
| Financial Data Analysis with MS Excel | 16 |
| Emerging Job Areas-SMAC | 8 |
| OOP Concepts | 16 |
| Python Programming | 40 |
| Web Application Development using Python | 40 |
| Large Data Management (MongoDB) | 40 |
| R Programming | 40 |
| Project (R) | 2 |
| Total | 202 |