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PROFESSIONAL CERTIFICATION

Master Data Analysis with Python and R

In this course, you will learn how to prepare data, perform data analysis, use data visualization techniques, and more, leveraging the capabilities of Python and R. Acquire the skills to manipulate data efficiently using Pandas, perform statistical analysis with NumPy and SciPy, and create dynamic visualizations with Matplotlib and Seaborn in Python.

Next Kickoff:

January 15

10:00am-01:00pm 

Limited Seats

Find other data analytics courses.

What You'll Get

In This Course, You’ll Learn The Most Effective Ways To Go About Studying Data With Python And R.

Experts-Led Training

We have some of Nigeria's top IT consultants and trainers are our instructors.

100% Practical Training

This program is meant to walk you through every tool, trick, and technique in a hands-on manner.

Internships & Jobs Guaranteed

After four (4) weeks of the course, you will start your internships with two of the top five consulting firms in the world.

PRO

Job Assistance

You will receive special access to our dedicated job group to apply for appropriate positions, and we will assist you during your job hunt.

Unit 1

Python Fundamentals for Data Analysis

This section serves as a comprehensive introduction to the Python programming language, emphasizing its relevance and versatility in the realm of data analysis. Starting with the basics of Python syntax, variables, and data types, participants gradually immerse themselves in the language’s capabilities.

Key Skills:
Python Programming
Data Manipulation
Statistical Analysis

Introduction to Python

In this module, you will explore the basics of Python programming, including syntax, variables, and data types. Familiarizing yourself with Python's versatility and its role in the data analysis landscape.

Data Manipulation with Pandas

In this module, you will master the use of Pandas library for efficient data manipulation and analysis. Learning to clean, transform, and process data effectively.

Statistical Analysis with NumPy and SciPy

In this module, you will delve into statistical analysis using NumPy and SciPy libraries. Perform common statistical operations and hypothesis testing in Python.

Introduction to Python

In this module, you will explore the basics of Python programming, including syntax, variables, and data types. Familiarizing yourself with Python's versatility and its role in the data analysis landscape.

Data Manipulation with Pandas

In this module, you will master the use of Pandas library for efficient data manipulation and analysis. Learning to clean, transform, and process data effectively.

Statistical Analysis with NumPy and SciPy

In this module, you will delve into statistical analysis using NumPy and SciPy libraries. Perform common statistical operations and hypothesis testing in Python.

Unit 2

R Programming for Data Analysis

In this section, participants delve into the world of R programming, a language renowned for its statistical prowess and visualization capabilities. Beginning with a comprehensive introduction to R fundamentals, learners grasp the syntax, data types, and basic functions. 

Key Skills:
R Programming
Tidyverse
dplyr and tidyr
ggplot2

R Fundamentals

In the module, you will be Introduced to the fundamentals of the R programming language. Understand the syntax, data types, and functions in R.

Data Manipulation

In this module, you learn how to interpret data and come up with the best courses of action based on your findings to solve a business problem.

Statistical Visualization

In this module, you will perform statistical analysis and visualization using the ggplot2 package. Create publication-quality graphics for in-depth data exploration.

R Fundamentals

In the module, you will be Introduced to the fundamentals of the R programming language. Understand the syntax, data types, and functions in R.

Data Manipulation

In this module, you learn how to interpret data and come up with the best courses of action based on your findings to solve a business problem.

Statistical Visualization

In this module, you will perform statistical analysis and visualization using the ggplot2 package. Create publication-quality graphics for in-depth data exploration.

Unit 3

Job Preparation Guide

This segment is your compass for transitioning from learning to practical application in the professional sphere of data analysis. Here, we offer insights, tips, and resources to empower you on your journey towards securing a rewarding career or advancing in your current role.

Key Skills:
Resume Optimization
Portfolio Development
Interview Strategies
Networking

Mentorship Session

Seize the opportunity to engage in an Ask-Me-Anything session with a top-tier data analyst. Benefit from firsthand insights, industry knowledge, and personalized guidance to propel your journey in data analysis.

Cv Optimization/Linked in Optimization

In this module of the training, we will prepare you for for Data Analysis Roles. Also, we will provide you with training in CV writing skills and LinkedIn Optimization.

Freelancing

In this module, a top freelancer will share with you a blueprint that guarantees you to make at least $1,000 Monthly working Remotely As A Data Analyst… Even if you know nothing about remote work.

Mentorship Session

Seize the opportunity to engage in an Ask-Me-Anything session with a top-tier data analyst. Benefit from firsthand insights, industry knowledge, and personalized guidance to propel your journey in data analysis.

Cv Optimization/Linked in Optimization

In this module of the training, we will prepare you for for Data Analysis Roles. Also, we will provide you with training in CV writing skills and LinkedIn Optimization.

Freelancing

In this module, a top freelancer will share with you a blueprint that guarantees you to make at least $1,000 Monthly working Remotely As A Data Analyst… Even if you know nothing about remote work.

Meet Your Instructors And Mentors

To Deliver Excellent Training, We Work With The Very Best Talents.

Abiodun Musbaudeen

Former Data Analyst at first bank & Konga

Tope Adeosun

Facebook Certified Lead trainer

Somto Omenkeukwu

Data Specialist & Trainers

Frequently Asked Questions

Yes. We’re happy to work with you on a payment plan. If you’d like to speak with a member of staff about possible payment options, you may reach us at 07030163486 via WhatsApp.

 No prior programming experience is required. The course is structured to cater to learners with diverse backgrounds, providing a solid foundation for both beginners and those with some programming knowledge.

The course includes hands-on projects that simulate real-world scenarios. You’ll apply Python and R to analyze and solve practical data analysis challenges, ensuring that you gain practical experience applicable to diverse situations.

This course is designed for individuals at various levels, from beginners with no programming experience to professionals seeking to enhance their data analysis skills using Python and R.

Yes, upon successful completion of the course, you will receive a certification recognizing your proficiency in Python and R for data analysis. This certification serves as a valuable credential to showcase your skills to potential employers.

Yes. it is recommended you come with your own laptop as it will help you to practice whatever you are learning easily. However, we provide laptop that can be used only within our premises if need be. 

Absolutely. The skills acquired in this course are versatile and applicable across various industries. Whether you’re interested in finance, healthcare, marketing, or any other sector, the proficiency in Python and R for data analysis opens doors to roles such as data analyst, business intelligence analyst, or even positions requiring statistical analysis and visualization expertise.

Our I.T classes are on a rolling basis. It’s not like schools when you can only start in September or January. Call us on 07030163486 and we will fill you in on all the details.

To register, pay ₦‎200,000 into:
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0058423529

SKILLBOOST LIMITED

After payment, send a WhatsApp message to 07030163486

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