Master Data Science by solving Real-Life Data Analytics  Problems in this data analysis and visualization training in Abuja.

Our data analysis training will help you see that having a Data skills-set is now key for working in any modern business. Big Data is big business, and it’s only going to get bigger.

Acquire the technical and conceptual analytical skills you need to make high-quality decisions and answer your organization’s toughest questions. Our curriculum provides hands-on experience with using data to draw conclusions, make recommendations, and present data in an influential way. We are thereby empowering leaders with the knowledge they need to make informed decisions.

Organizations need people with the right skills if they’re to maximize all of the opportunities that big data now offers. This Data Analytics Course in Nigeria prepares and equips you with the right data analytics skills

If you are looking for a good school in Abuja for data analysis training you are in the right place. Our Abuja data analytics school helps you to learn data analytics from professionals. They will take you by the hand and teach you from beginning to advanced. Our classes are not crowded class, a trainer is assigned to you.

In our data analysis training in Abuja Nigeria, you can learn any of the following data analysis tools and packages: Spss, Python, R, Excel, Stata, Microsoft Power BI, Tableau.

Introduction to Data Analytics course in Nigeria for Beginners.

Your journey as a data analyst begins here. This Introduction to Data Analytics course in Nigeria for Beginners presents an introduction to the concepts of data analysis, the role of a Data Analyst, and the tools that are used to perform daily functions.

This course will give you a full understanding of the data ecosystem and the fundamentals of data analysis. This includes data gathering or data mining and the soft skills required to effectively communicate your data to stakeholders. You will then learn how mastering these skills can give you the option to become a data-driven decision-maker using big data.

This course will help you to differentiate between the roles of a Data Analyst, Data Scientist, and Data Engineer. You will learn the responsibilities of a Data Analyst and exactly what data analysis entails and what they do. You will be able to summarize the data ecosystem, such as databases and data warehouses.

Continue this exciting journey and discover different tools for data analysis like Spss, Python, R, Excel, Stata, Microsoft Power BI, Tableau, what they are, and what they are used for. By the end of this Introduction to Data Analytics course in Nigeria for Beginners, you will be able to visualize the daily life of a Data Analyst, understand the different career paths that are available for data analytics, and identify the many resources available for mastering this profession.

Different tools for our Data Analysis and visualization training in Abuja

Excel: Data analysis using Excel

This excel for Data Analysis will take you from basic to Expert Level. The knowledge of excel is essential for any professional or academic career based on data analysis. It is the most commonly used data analysis software and it’s a solid foundation before learning any other.

Excel spreadsheets are one of the most extended ways of working with big collections of data. They are very powerful and they are very easy to combine and integrate with a myriad of other tools

It’s true that the learning process can become difficult as complexity grows. This excel for data analysis course will lead you through step-by-step practical training for excel for data analysis.

you will learn one of the most popular data analysis tools, to help visualize and gain insights from your data.

SPSS: Data Analysis training using SPSS 

Statistical Package for the Social Sciences-(SPSS), also known as IBM SPSS Statistics, is a software package used for the analysis of statistical data.

Our SPSS training is a complete step-by-step course to master IBM SPSS Statistics. This is for doing advanced Research, Statistics & Data Analysis

This course will cover everything from entering data into SPSS to interpreting the result. It offers an easy step-by-step guide to mastering descriptive statistics in SPSS.

STATA: Data Analysis training using STATA

This Stata data analysis training provides all you need to know to start using Stata to analyze your data.

It will help you to master STATA for data management, graphs, and data analysis with TIPS for the best workflow.

You will learn how to confidently input and manage data from various sources into Stata. You will also understand how to create data management routines which are essential to becoming a proficient Stata user in Nigeria

Power BI: Data Analysis and Visualization using Microsoft Power BI 

Our Microsoft Power BI training in Abuja Nigeria will help you learn how to transform, analyze & visualize data with Microsoft Power BI Desktop. Its a practical hands-on, project-based training in Abuja Nigeria

Learn Microsoft Power BI for Data Science and Data Analytics in Abuja Nigeria. Build visualizations and BI reports with Microsoft Power BI

Power BI is a business analytics service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities. It has an interface simple enough for end-users to create their own reports and dashboards

It’s a business analytics service that delivers insights to enable fast, informed decisions. It gives business intelligence like never before and helps you go from data to insights in minutes. ——Any data, any way, anywhere. And all in one view.

Tableau: Data Analysis and Visualization using Tableau

Practical Data Visualization and business intelligence using Tableau Training in Abuja Nigeria

This Tableau Training in Abuja Nigeria gives you practical hands-on training on Tableau for data analysis and data visualization

Tableau is the most powerful, secure, and flexible end-to-end analytics and data visualization tool used in the Business Intelligence Industry

It is the fastest-growing data analytics and data visualization tool for simplifying raw data into an easily understandable format. Python: Data analysis using Python

Our data analysis using python course is a practical hands-on training that will help you develop your skills to become a successful Data Analyst. By taking this course, you will be able to successfully study, analyze and visualize different types of data and turn it into a valuable source of information using python.

Learning Python is a crucial skill for many Data Science job roles. Acquiring knowledge in Python for data science will be the key to unlocking your career as a Data Scientist.

R: Data analysis using R programming

Do you need to know how to get started with R programming for data analysis? Are you intrigued by Data Visualizations? do you want to take your data analysis to an advanced level? If yes, then this data analysis training using R is meant for you!

R analytics (or R programming language) is free, open-source software. It is used for all kinds of data science, statistics, and visualization projects. R programming language is powerful, versatile, AND able to be integrated into BI platforms. This will help you get the most out of business-critical data.

Instead of opting for a pre-made approach, R data analysis allows companies to create statistics engines. These can provide better, more relevant insights due to more precise data collection and storage.

R, and its sister language python, are powerful tools to help you maximize your data reporting. Instead of using programming languages through a separate development tool, you can integrate R straight into your analytics stack. This allows you to predict critical business outcomes, create interactive dashboards using practical statistics, and easily build statistical models. Integrating R and Python means advanced analytics can happen faster, with accurate and up-to-date data.

SQL for Data Science Training

With this SQL For Data Science training in Abuja Nigeria, you will learn how to use and apply SQL. This is to better communicate and extract data from databases – a must for anyone working in the data science field.

SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and extracting various data types from databases. Working knowledge of databases and SQL is necessary to advance as a data scientist or a machine learning specialist.

SQL is a tool for Data Science used to handle structured data. A good Data Scientist must have a good knowledge of SQL commands to handle and query structured data stored in relational databases

A Data Scientist with the knowledge of SQL can control, define, manipulate, create and query databases.

SQL for Data Analysis Training

In this SQL for Data Analysis Training in Abuja Nigeria. you’ll learn to use Structured Query Language (SQL) to analyze data.

You’ll first learn to extract data, join tables together, and perform aggregations. Then you’ll learn to do more complex analysis and manipulations using subqueries, temp tables, and window functions. By the end of the course, you’ll be able to write efficient SQL queries to handle data analysis tasks.

SQL is a very valuable tool for a wide array of roles across diverse industries. Companies like digital marketers, engineers, product managers, and more.

The majority of the world’s data is stored in databases; Structured Query Language is a tool that will enable you to access this data with ease.

It refers to the database querying language’s ability to interact with multiple databases at once. SQL is one of the most commonly used languages, as it combines accessible learning with a complex depth. This lets users create advanced tools and dashboards for data analytics.

Why learn Data Analysis and data science

A Data Analytics specialist is essential in any business. But there’s also a growing need for employees across all areas to know how to read, interpret, and present data in a way that can be understood across all functions and inform decision making.

If you are currently working in a management function or looking to specialize in Data, our Data Analytics course will upskill and develop your relevant data handling, enabling you to draw out insights and make strategy-driven decisions that benefit your business.

We live in a digital world, everything is data-driven and big data has become what companies rely on. Data Science, Machine Learning, and Analytics are considered to be among the hottest career paths.

There is always an application of data analytics and data science in business, accounting, education, science, engineering, healthcare, technology, energy sector, government, and so on. So having the ability to work with data is an essential skill. Combining your data science knowledge with whatever skill sets that you already have will add more value to your resume and CV.

Benefits of this data analysis and visualization training in Abuja

This data analysis training in Abuja Nigeria will teach you to make better decisions, find critical insights and use today’s data tools to maximize the value of available information. Our data analysis course has a wide array of topics to fit the business needs of your organization and the skill growth needs of your people.

This course covers everything from the basic concepts of data analysis, to data warehouse design and data visualization principles. If you’re looking for a career change or already making your way into the world of transforming data into value, this course will help you understand all of the key concepts and get some hands-on skills, while being directed to where you can dig in deeper when you find something you’re interested in.

If you’re already working in the data world, you can use this course as a reference. Each module is broken down into segments that answer the basic questions of what, why, how, and where

Data is the foundation of the Digital Age. Learn how to organize, analyze and interpret these new and vast sources of information. Free online courses cover topics such as machine learning, baseball analytics, probability, randomization, quantitative methods, and much more.