Do I need previous technical experience?

Many tracks are beginner-friendly, while advanced tracks clearly indicate the prior knowledge that helps learners progress faster.

Will I build projects?

Yes. The strongest learning outcomes come from guided projects, assignments, labs, and portfolio-ready work.

Will I receive a certificate?

Yes. Loctech issues a completion certificate, and several courses also support preparation for external certifications.

Is there a payment plan?

Yes. Loctech offers installment payment options. Speak with admissions if you need help choosing the best payment route for this program.

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Data, Software and Emerging TechnologiesCode: LOC-DA-PYSQLAdvanced

Data Analysis with Python and SQL

Name: Data Analysis with Python and SQL
Price: 430000 NGN
Availability: InStock

Learn Python, SQL, data cleaning, analysis, visualization, and business insight communication for analyst roles.

96 hours total

In-person practical training

Verifiable certificate

Hands-on practical labsPortfolio-oriented learningCareer-focused guidance

Start Your Application Talk to Admissions

Program Overview

This course helps learners move from raw data to useful insight using Python and SQL. You will practice querying, cleaning, analyzing, visualizing, and explaining data in a way that supports real business decisions.

This Program Is For

Beginners and career switchers entering technology
Professionals who want stronger software, data, or cloud skills
Learners preparing for portfolio projects and technical roles

Outcomes You Should Expect

Analyze datasets with Python and SQL
Answer business questions with data
Prepare for data analyst roles

What You Will Learn

SQL querying
Python data analysis
Data cleaning
Visualization and insight communication

Skills and Tools You Will Work With

Skill Focus

SQL queryingPython data analysisData cleaningVisualization and insight communication

Tools and Technologies

PythonSQLPandasJupyter notebooksMatplotlib

FAQs About This Program

Get the Full Curriculum

Want the module breakdown, schedule details, and admissions follow-up for this program? Enter your details below and we will send the curriculum.

₦430,000

Instalment options available - speak with customer care.

Start Your Application Talk to Admissions Explore Scholarship Options

Why learners choose this track

Hands-on practical labs
Portfolio-oriented learning
Career-focused guidance

Program Details

CodeLOC-DA-PYSQL

Duration96 hrs total

CategoryData, Software and Emerging Technologies

FormatIn-person practical training

LevelAdvanced

Class SizeMax 20 students

Career Direction

Data analyst pathway

Enrolment Options

Prerequisites

Basic mathematics (algebra, statistics)
No prior programming experience required
Analytical mindset
Access to a laptop/computer

Related Courses

View All Courses

Advanced

Machine Learning with Python

Learn machine learning concepts, Python data workflows, model training, evaluation, and practical AI project development.

₦537,500

Data Analysis with Power BI

Turn raw data into clear dashboards, models, and business insights using Microsoft Power BI.

₦215,000

All Levels

Artificial Intelligence

Learn AI foundations, practical use cases, prompt workflows, automation ideas, ethics, and business application of AI tools.

₦537,500

Ready to Start This Program?

Apply for the standard admissions route, or speak with our team if you need help choosing the right schedule, payment plan, or scholarship path.

Apply Now Talk to Admissions

Need funding support? Explore scholarships before you apply.View scholarships

Data, Software and Emerging TechnologiesCode: LOC-DA-PYSQLAdvanced

Data Analysis with Python and SQL

Learn Python, SQL, data cleaning, analysis, visualization, and business insight communication for analyst roles.

96 hours total

In-person practical training

Verifiable certificate

Hands-on practical labsPortfolio-oriented learningCareer-focused guidance

Start Your Application Talk to Admissions

Program Overview

This Program Is For

Beginners and career switchers entering technology
Professionals who want stronger software, data, or cloud skills
Learners preparing for portfolio projects and technical roles

Outcomes You Should Expect

Analyze datasets with Python and SQL
Answer business questions with data
Prepare for data analyst roles

What You Will Learn

SQL querying
Python data analysis
Data cleaning
Visualization and insight communication

Skills and Tools You Will Work With

Skill Focus

SQL queryingPython data analysisData cleaningVisualization and insight communication

Tools and Technologies

PythonSQLPandasJupyter notebooksMatplotlib

FAQs About This Program

Get the Full Curriculum

Want the module breakdown, schedule details, and admissions follow-up for this program? Enter your details below and we will send the curriculum.

₦430,000

Instalment options available - speak with customer care.

Start Your Application Talk to Admissions Explore Scholarship Options

Why learners choose this track

Hands-on practical labs
Portfolio-oriented learning
Career-focused guidance

Program Details

CodeLOC-DA-PYSQL

Duration96 hrs total

CategoryData, Software and Emerging Technologies

FormatIn-person practical training

LevelAdvanced

Class SizeMax 20 students

Career Direction

Data analyst pathway

Enrolment Options

Prerequisites

Basic mathematics (algebra, statistics)
No prior programming experience required
Analytical mindset
Access to a laptop/computer

Related Courses

View All Courses

Advanced

Machine Learning with Python

Learn machine learning concepts, Python data workflows, model training, evaluation, and practical AI project development.

₦537,500

Data Analysis with Power BI

Turn raw data into clear dashboards, models, and business insights using Microsoft Power BI.

₦215,000

All Levels

Artificial Intelligence

Learn AI foundations, practical use cases, prompt workflows, automation ideas, ethics, and business application of AI tools.

₦537,500

Ready to Start This Program?

Apply for the standard admissions route, or speak with our team if you need help choosing the right schedule, payment plan, or scholarship path.

Apply Now Talk to Admissions

Need funding support? Explore scholarships before you apply.View scholarships