Training in Quantitative Data Management, Statistical Analysis & Programming Using Python

Course Outline 

Introduction to Anaconda

• Why Python? Notebook, variables, if/else, logical operators, loops
• Installing Anaconda
• Walk through the Development Environment
• Data structures: Numpy
• Built-in Data Structures and Sequences.
• Exercises

Arrays and Vectorized Computation

• NumPy basics
• Working with multidimensional array objects
• Indexing, slicing, and transposing arrays
• Array-Oriented Programming
• Mathematical and statistical methods.
• Exercises

Tabular and Heterogeneous Data

• Pandas basics
• Introduction to Series, DataFrame, Index objects
• Essential functionalities of pandas library
• Summary statistics methods.
• Data cleaning using Pandas, data transformations
• Exercises

Data Loading, Storage and File Formats

• Reading and writing data in text format
• Binary Data Format
• Interacting with Web APIs and Databases.
• Exercises

Data Cleaning and Preparation

• Handling missing data
• Data transformation
• String manipulation.
• Exercises

Plotting and Visualization

• Data analysis using Pandas
• Data visualization using pandas.
• Advanced data visualization using MatPlotLib, Seaborn
• Intro to machine learning, business use cases
• Additional useful and fun python tools
• Final exercise

Requirements

Participants should be reasonably proficient in English. Applicants must live up to Phoenix Center for Policy, Research and Training admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free
2. What is catered for by the Course Fees: Fees caters for all requirements for the training Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.
3. Certificate Awarded: Participants are awarded Certificates of Completion at the end of the training.
4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.
5. Approval of Course: Our Programs are NITA Participating organizations can therefore claim reimbursement on fee paid in accordance with NITA Rules.

How to Book: Simply send an email to the Training Officer on training@phoenixtrainingcenter.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on: +254720272325 / +254737566961

Payment Options: We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date in order to reserve your seat:

1. Groups of 5 People and Above Cheque Payments to: Phoenix Center for Policy, Research and Training Limited should be paid in advance, 5 days to the training.
2. Invoice: We can send a bill directly to you or your company.
3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.
2. Participants may cancel attendance 14 days or more prior to the training commencement date.
3. No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met.
   

Tailor Made Courses

This training course can also be customized for your institution upon request to a minimum of 5 participants. You can have it delivered at our Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254720272325 / +254737566961 or Email training@phoenixtrainingcenter.com

Accommodation: Accommodation is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@phoenixtrainingcenter.com or on Tel: +254720272325 / +254737566961