Start your Journey into
Data Analysis Guru (DAG) with
Gurudemy

Class starts January 22nd, 2024

Application Ends January 16th, 2024

Data Analysis Guru (DAG)

Duration
Level 1

6 weeks

Level 2

6 weeks

What you will be learning

You will be learning about Understanding and preparing data, Data cleaning and preprocessing, Exploring and visualizing data, Regression analysis, PowerBi, Tableau, Linear regression, Multiple regression, Logistic regression, Classification techniques, Decision trees, Support vector machines, K-nearest neighbors, Clustering techniques, K-means clustering, Hierarchical clustering, Density-based clustering, Time series analysis, Data visualization, Introduction to data visualization principles, Creating charts and plots using various tools (e.g. Excel, Python, R, MYSQL), Interactive data visualization and many more..

Class Schedule

Mon
Tue
Wed
Thu
Fri
Sat
Online
2pm-5pm
Online
10am-1pm
Interaction with community and instructor
Unspecified
Interaction with community and instructor
Unspecified
Interaction with community and instructor
Unspecified
Weekends Online Session
10am-1pm

Tools

Laptop

Minimum 17”, 1920x1080 pixels (Full HD), high-intensity Intel Core i7 or Xeon, 16 GB RAM, Battery Life Of 12 Hours

Hard Drive

500GB - 1TB Portable external HDD hard disk drive

Mouse

Wireless Mouse

Tuitions

Data Analysis Guru (DAG)

DURATION - 12 WEEKS

FRONT-END (LEVEL 1 & 2)

ACTUAL FEE

₦400,000

FIRST PLAN Best Plan

₦260,000

  • Enjoy 35% Discount on One Off Payment
  • (Save ₦140,000 of actual fee If you pay in full before starting.)

SECOND PLAN

₦156,000

/fisrt payment

  • Make Second payment of ₦104,000 on or before the 5th week of class

LOAN PLAN

₦26,433/mo

  • Enjoy 26.8% Discount for 12 Months Instalment Payment
  • (Save ₦107,200 of actual fee, Start and pay during and after learning.)

FAQ's

Data analysis is the process of examining, cleaning, transforming, and modeling data with the goal of discovering useful insights, informing conclusions, and supporting decision-making. Data analysis is often used to explore and understand large and complex datasets, and it can be applied in a variety of fields, including business, science, and social science.
Data analysts use statistical and computational techniques to analyze data, often with the help of specialized software tools. They may also use data visualization techniques to present their findings in an easily understandable way.

The salary of a data analyst can vary widely depending on a number of factors, including the industry in which they work, the size and location of their employer, their level of education and experience, and their specific job responsibilities.
According to data from the U.S. Bureau of Labor Statistics (BLS), the median annual wage for data analysts was $63,790 in May 2020. However, data analysts working in certain industries or in higher-paying regions may earn significantly more. For example, data analysts working in the finance and insurance industry had a median annual wage of $86,010, while those working in the pharmaceutical and medicine manufacturing industry had a median annual wage of $99,530.
Data analysts with advanced degrees or specialized skills, such as expertise in a particular programming language or statistical software, may also be able to command higher salaries. In addition, data analysts with several years of experience may have the opportunity to advance to more senior roles, such as data scientists or data engineers, which typically have higher salaries.

It is a high-demand field with strong job prospects. Data analysts are in high demand across a variety of industries, including finance, healthcare, and technology.
It can lead to lucrative career opportunities. Data analysts often earn high salaries, especially those who work in senior roles or in high-demand industries.
It allows you to make data-driven decisions. By analyzing data and extracting insights, you can help inform decision-making and improve organizational efficiency.
It is a versatile skill. Data analysis skills are applicable to a wide range of jobs, including business analysis, market research, and data science.
It is a field with growing importance. As more organizations collect and generate large amounts of data, the demand for professionals who can analyze and make sense of that data is expected to continue growing in the coming years.

Data Analysis Guru (DAG) Level 1 Course is the introduction stage for beginners which consists of the fundamentals and basics of Data Analysis.PHP_EOlData Analysis Guru (DAG) Level 2 Course is the progressive phase of Data Analysis Guru Course after the Introduction part has been successfully taken. This is the phase where you master the skill with more practicals.

Yes, Certificates will be issued after successful completion of Level 1 & 2 of this course

Our courses fees are quitely friendly and flexible. Find course fees and payment plan here{tuition_page}

Yes, we currently have a partnership with Sterling Bank to help you fund your fee while you pay back in bits monthly during and after learning for a duration of 12 months.

First stage of the course which is Level 1 is for 6 weeks, while Level 2 is also 6 weeks, totaling 12 weeks + a free mentorship period of 3-6 months.

We’ve created a platform called “Budding Gurus Expo Day” for students to showcase personal class and project to highly experienced industry experts during the event as a means for students to connect, network, pitch their ideas, get professional advises, possible Internship and Job opportunities.
We create avenue for possible internship with our company and partners for exceptional students after successful completion of the course.

Yes, most of our classes are 2-3 times in a week as you don’t have to come to class everyday of the week. We also operate on hybrid learning system for your convenience and to fix in your schedule, this means that you join class Physically & Online, or stick to Online ( Live classes, full instructor and learning team support)