CEP24 Scholarship on Data Analysis & Machine Learning With Python
 Learn how to analyze and visualize data and obtain useful insights by using Python, Pandas, and statistical computing packages.
CEP24 Partially Funded Scholarship on Data Analysis & Machine Learning With Python
Machine Learning With Python Training
Unlock the power of Python programming to enhance your analytical skills and cater to the unique needs of the financial industry. Elevate your proficiency in Python, data analysis, and quantitative techniques with our expert-led training course.Â
Physical/Online Classes
Feb. 1st – Mar. 4th 2024
Cost
N22,500
with CertificateÂ
Duration
4 Wks
Highlights
Course Details
Environment Set-up
- The Anaconda distribution as Python Data Science platform
- Overview on Python virtual environment set-up.
- Running Python code in Jupyter notebook
Data Visualisation in pandas
- Plotting data from a Series or DataFrame object
- Bar plots, line plots, scatter plots, histograms and other common charts
- Basic customisation of charts
Data Visualisation with matplotlib and plotly
- Overview on the basic types of charts available with the Python libraries
- Bar plots, line plots, histograms, scatter plots, pie charts
- Customising the layout and format of a chart
- Examples of static visualisation with matplotlib
- Examples of interactive visualisation with plotly
Python core concepts
- The Anaconda distribution as Python Data Science platform.
- Built-in data types in Python.Working with strings, numbers, lists, tuples and dictionaries.
- Control flow statements.
- Conditional execution with if statements.
- Conditional loops with where statements.
- Looping over a sequence with for statements.
- Defining and using custom functions.
- Working with dates and times.
- Accessing data on file (CSV, JSON, …)
NumPy
- Working with multi-dimensional arrays with NumPy
- Arithmetic operations with NumPy arrays
- Vectorised operations with NumPy arrays
- Stats and linear algebra with NumPy
- Slicing and indexing NumPy array
Missing data in pandas
- Identifying missing data points
- Filtering out missing data
- Filling missing data with given values, interpolation and other filling strategies
Working with text data in DataFrames
- Using the str attribute in pandas objects
- String manipulation functions in pandas
- Filtering data with string pattern matching
Data Analysis in pandas
- Extracting summary statistics over DataFrame objects
- Performing data aggregation queries (groupby() method)
- Aggregating multiple columns in the same query
- Exploratory analysis of new datasets
Retrieving data in pandas
- Querying data to extract specific rows and columns
- Filtering data on specific conditions
- Understanding pandas indexing
Who should attend
The Python training course is beneficial for Finance and Investment Analysts, Data Scientists and Analysts, Financial Planners and Advisors, Business Professionals in Finance, Risk Managers and Compliance Professionals, Whether you are a financial professional looking to improve your skills, a data enthusiast looking to break into the finance industry, or a student looking to specialise, this course will provide you with the Python knowledge you need to succeed in data analysis and quantitative finance. Enrol now to future-proof your career!
