Training Course on Data Analytics and Visualization for Informed Decision-Making

Module 1: Introduction to Data Analytics and Decision-Making

ü  Understanding the role of data in modern business

ü  Key concepts in data analytics

ü  Types of data and data sources

ü  The data analytics lifecycle

ü  Practical Session: Exploring real-world datasets

Module 2: Data Collection and Cleaning Techniques

ü  Methods of data collection (surveys, APIs, web scraping)

ü  Identifying and handling missing data

ü  Data normalization and transformation

ü  Removing duplicates and outliers

ü  Practical Session: Cleaning a messy dataset

Module 3: Exploratory Data Analysis (EDA) with Python/R

ü  Descriptive statistics and summary metrics

ü  Data distribution and correlation analysis

ü  Visualizing data distributions (histograms, box plots)

ü  Identifying patterns and anomalies

ü  Practical Session: Performing EDA on a sample dataset

Module 4: Statistical Foundations for Data Analysis

ü  Hypothesis testing and confidence intervals

ü  Regression analysis (linear and logistic)

ü  A/B testing for business decisions

ü  Statistical significance and p-values

ü  Practical Session: Running statistical tests on business data

Module 5: Data Visualization Principles and Tools

ü  Best practices in data visualization

ü  Choosing the right charts for different data types

ü  Introduction to Tableau and Power BI

ü  Designing interactive dashboards

ü  Practical Session: Creating a basic dashboard

Module 6: Advanced Visualization Techniques

ü  Geospatial data visualization

ü  Time-series analysis and forecasting visuals

ü  Storytelling with data

ü  Customizing visuals for stakeholder presentations

ü  Practical Session: Building an advanced interactive report

Module 7: Business Intelligence and Dashboarding

ü  Key performance indicators (KPIs) and metrics

ü  Automating reports with BI tools

ü  Dashboard best practices for executives

ü  Real-time data monitoring

ü  Practical Session: Designing a KPI dashboard

Module 8: Predictive Analytics and Machine Learning Basics

ü  Introduction to predictive modeling

ü  Supervised vs. unsupervised learning

ü  Building simple machine learning models

ü  Evaluating model performance

ü  Practical Session: Implementing a predictive model

Module 9: Data-Driven Decision-Making in Organizations

ü  Aligning data insights with business goals

ü  Case studies of successful data-driven companies

ü  Overcoming biases in data interpretation

ü  Communicating insights to non-technical stakeholders

ü  Practical Session: Presenting findings to a mock executive team

Module 10: Ethics, Privacy, and Future Trends in Data Analytics

ü  Data privacy regulations (GDPR, CCPA)

ü  Ethical considerations in data usage

ü  Emerging trends (AI, big data, IoT)

ü  Continuous learning in data analytics

ü  Practical Session: Ethical scenario-based discussions

Requirements

ü  Participants should be reasonably proficient in English. 

ü  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 cater 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 Participation 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 Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

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 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 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 before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course 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 for a minimum of 5 participants. You can have it conducted 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 and Airport Transfer

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