Courses & Curriculum – BezaTo Consultancy

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Data Analytics with Excel

Pivot Tables · VLOOKUP · Dashboards

⏱ 4 Weeks🟢 BeginnerOnline & Physical

₦80,000₦100,000Save ₦20k

Master data cleaning, pivot tables, corporate dashboards, and analytical reporting — the most widely used analytics tool globally.

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Week-by-Week Breakdown — Excel Analytics

1

Foundations — Excel interface, formulas, functions, formatting, data validation.

2

Data Manipulation — VLOOKUP, INDEX-MATCH, conditional logic, data cleaning techniques.

3

Pivot Tables & Charts — Summarizing data, pivot charts, slicers, dynamic reporting.

4

Dashboards & Capstone — Building an interactive business dashboard, final project presentation.

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Data Analytics with Power BI

DAX · Data Modelling · Reports

⏱ 4 Weeks🟢 BeginnerOnline & Physical

₦80,000₦100,000Save ₦20k

Build stunning interactive dashboards and business intelligence reports with advanced data modelling using Microsoft Power BI.

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Week-by-Week Breakdown — Power BI

1

Power BI Basics — Interface, data import, connecting to multiple sources.

2

Data Modelling — Relationships, Power Query, data transformation.

3

DAX & Visuals — Calculated columns, measures, advanced visualisations.

4

Dashboard Capstone — Build and present a full business intelligence dashboard.

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Data Analytics with SPSS

Statistics · Hypothesis Testing · Research

⏱ 4 Weeks🟢 BeginnerOnline & Physical

₦80,000₦100,000Save ₦20k

Statistical analysis, hypothesis testing, and data interpretation for academic and market research using IBM SPSS.

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Week-by-Week Breakdown — SPSS

1

SPSS Fundamentals — Interface, data entry, variable types, descriptive statistics.

2

Data Exploration — Frequency tables, cross-tabulation, data visualisation.

3

Hypothesis Testing — T-tests, ANOVA, chi-square, correlation analysis.

4

Research Project — Apply techniques to a real research dataset and present findings.

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Data Analytics with Python

Pandas · NumPy · Matplotlib · Automation

⏱ 4 Weeks🟣 IntermediateOnline & Physical

₦120,000₦150,000Save ₦30k

Coding foundations, automated data cleaning, scripting, and real-world analytics workflows with Python — the most in-demand analytics language.

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Week-by-Week Breakdown — Python Analytics

1

Python Basics — Syntax, data types, loops, functions, Jupyter notebooks.

2

Pandas & NumPy — Data manipulation, cleaning, merging datasets.

3

Visualisation — Matplotlib, Seaborn, building charts and reports.

4

Automation Capstone — Build a script that automates a real analytics workflow.

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Data Analytics with R Studio

ggplot2 · Tidyverse · Statistical Modelling

⏱ 4 Weeks🟣 IntermediateOnline & Physical

₦120,000₦150,000Save ₦30k

Advanced statistical computing, ggplot2 visualisations, and data wrangling — ideal for academic research, pharmaceutical, and policy roles.

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Week-by-Week Breakdown — R Studio

1

R Fundamentals — Syntax, vectors, data frames, R Studio environment.

2

Tidyverse — dplyr for data manipulation, tidyr for reshaping data.

3

Visualisation with ggplot2 — Building publication-quality charts and graphs.

4

Statistical Modelling Capstone — Apply regression and statistical models to a dataset.

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Econometrics with Stata

Regression · Panel Data · Lab Research

⏱ 4 Weeks🟣 IntermediateOnline & Physical

₦120,000₦150,000Save ₦30k

Regression analysis, panel data, econometric modelling, and deep lab research analysis using Stata for academic and policy work.

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Week-by-Week Breakdown — Stata / Econometrics

1

Stata Basics — Interface, do-files, importing and cleaning datasets.

2

Descriptive & Inferential Stats — Summary statistics, t-tests, correlation.

3

Regression Analysis — OLS, panel data, fixed and random effects models.

4

Research Capstone — Full econometric analysis on a real-world dataset.

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Machine Learning & Automation

Scikit-learn · TensorFlow · Predictive Modelling

⏱ 6 Weeks🔶 Advanced

₦150,000₦180,000Save ₦30k

Predictive modelling, classification, clustering, system automation, and real-world ML deployment. Capstone project included. Python fundamentals required.

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Week-by-Week Breakdown — Machine Learning & Automation

1

ML Foundations — Types of machine learning, scikit-learn basics, data preparation.

2

Supervised Learning — Regression and classification algorithms.

3

Unsupervised Learning — Clustering, dimensionality reduction.

4

Model Evaluation — Cross-validation, metrics, hyperparameter tuning.

5

Automation — Building automated pipelines and workflows.

6

Capstone Project — End-to-end predictive model, deployed and presented.

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The Data Scientist Bundle

2+ Courses · Maximum Savings

Sign up for 2 or more courses and receive a multi-course discount on your total tuition. The more you learn, the more you save. Message us to get your custom bundle price.

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Full Curriculum & Pricing

Week-by-Week Breakdown — Excel Analytics

Week-by-Week Breakdown — Power BI

Week-by-Week Breakdown — SPSS

Week-by-Week Breakdown — Python Analytics

Week-by-Week Breakdown — R Studio

Week-by-Week Breakdown — Stata / Econometrics

Week-by-Week Breakdown — Machine Learning & Automation

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