The Lantern Institute document provides information about various professional development courses covering topics such as data science, machine learning, programming, finance, and statistics. Courses range from 18-30 hours and cover subjects including mathematical finance, machine learning, R programming, Python, Excel, and Java. The document lists detailed descriptions and learning objectives for each course and provides contact information for the Lantern Institute.
3. * Mathematical Finance & Data Science
* Machine Learning and Big Data
* Fundamental of Statistics Using R
* Financial Mathematics
* Python Programming
* Java Programming
* Excel Spreadsheet and VBA
4. Mathematical
Finance & Data
Science
The course is meant for those who are
interested in learning about Machine
Learning and Big Data. In this 24-hour
course, not only you will learn some of
the fundamentals of data science you
would also learn some of the most
useful tools that are used in the field
such as Hive and Spark. Please see the
detailed syllabus.
5. Financial
Mathematics
In this 18-hour course, you will
learn the fundamentals of
Mathematical Finance that are
commonly used among financial
institutions.
6. Fundamental of
Statistics Using
This 30-hour course is meant for professionals
who need to upgrade their skills for the
emerging applications of Statistical Analysis. In
this course, you will learn both the
fundamentals of statistics and R language.
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Python is a general purpose object oriented language that can be
used almost for any programming purpose. Python is also very
famous in Data science world and widely used in different fields.
Existing python packages for data science make it a great tool for
data analysis.
Python Programming
8. Excel is a must-know if you want to enter
data science and finance industry. In this
20-hour course not only will you learn
some of the main capabilities of excel, and
its advanced functions, you will also learn
how to use VBA excel to make macros to
automate tasks and create an interface for
them.
Excel Spreadsheet and
VBA
9. Data
Visualization
with Tableau
Data visualization is an essential key to
understanding data for further analysis.
It is also a very useful tool for
communicating results and concepts
during presentations. In this course,
you’ll learn how to make the data work
for you so that you can aggregate,
analyze, visualize, and extract meaning
out of your data.
10. Java
Programming
Java is a widely used general-purpose
computer programming in many industries.
The language is concurrent, class-based and
object-oriented. In this 30+ hour course, you
would learn how to use Java to develop
some useful real industrial projects. You
should have some basic background in
computer programming before taking this
course.