Data Analytics training in Abuja Nigeria
Practical hands-on data analysis training in Abuja Nigeria
Master Data Science by solving Real-Life Data Analytics Problems
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 — 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.
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
Different tools for our Data Analysis training
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 for doing advanced Research, Statistics & Data Analysis
This course will cover everything from entering data into SPSS to interpreting the result and offers 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 and understand how to create data management routines reproducible by other researchers and 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 with 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 which helps in simplifying raw data into a very 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 unlock 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 you data analysis to advanced level? If yes, then this data analysis training using R is meant for you!
R analytics (or R programming language) is a free, open-source software 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, to 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 that 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 like R Studio or Jupyter Notebooks, you can integrate R straight into your analytics stack, allowing 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.
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 learning process can become difficult as complexity grows, this excel for data analysis course will help by leading you through step-by-step real-world practical training for greater effectiveness in using excel for data analysis
you will learn one of the most popular data analysis tools, to help visualize and gain insights from your data and be able to apply this practical skill in any field.
An Impactful Immersive Learning Experience At Bizmarrow Technologies
We train you to develop skills for real career growth for the digital age
Practical hands-on training–Learn by working on real-world problems
Learn from experts active in their field, not out-of-touch trainers
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.
If you are interested in learning data science, you can register for our data science training in Abuja Nigeria. Click here to register for data science training
What are the benefits of enrolling in this data analytics training course in Abuja Nigeria
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.
Training Delivery Methods
Physical class training
Join our physical instructor-led interactive, and practical hands-on training in our training centers in Nigeria.
Live online training
learn from the comfort of your home or offices with our Virtual Instructor-Led live online, interactive, and practical hands-on training
Benefits of Big Data Analytics to companies and organizations
Businesses can benefit tremendously from data and analytics to drive positive outcomes for the business and its customers, while still maintaining and facilitating the highest level of data protection.
Poor management of operations can and will lead to a myriad of costly issues, including a significant risk of damaging the customer experience, and ultimately brand loyalty. Applying analytics for designing, controlling the process and optimizing business operations in the production of goods or services ensures efficiency and effectiveness to fulfil customer expectations and achieve operational excellence.
Advanced analytical techniques can be deployed to improve field operations productivity and efficiency as well as optimize an organizational workforce according to business needs and customer demand. Optimum utilization of data and analytics will also ensure that continuous improvements are instigated on an on-going basis as a result of end-to-end view and measurement of key operational metrics.
According to Dataversity Big Data Management solutions eliminate data niches so that organizations can obtain a unique view of the customers that include countless descriptive, calculated, and industry-specific metrics that allow for the construction of a detailed record of the behavior of each client. These profiles provide organizations with a global understanding of their clients through in-depth knowledge of the client and its operations.
Big Data can be intimidating, but with a good Big Data Management solution, your organization can address the data it needs to obtain actionable information and increase the value of the entire relationship with the client. Apps developed by a smartphone app development company can be used to sustain a good relationship with your clients.
The reality is that as data volumes continue to increase, its promise for companies also appears to exponentially grow. This allows companies to convert raw data into relevant projections, predictions, and trends with accuracy. A list of some of the benefits of Big Data Analytics could include:
- It can provide ideas from huge amounts of data from multiple sources that include those that come from external third-party sources, the internet, social networks, those already stored in company databases, etc.
- Real-time forecasting and monitoring of occasions that may affect the performance or operations of the businesses.
- Capability to locate, get, extract, change, analyze, and blend data with different tools.
- Identification of important information that can improve the quality of decision making.
- Ability to mitigate risks by optimizing complex decisions about unplanned events more quickly.
- Identification of the causes of failures and problems in real-time.
- Full understanding of the potential of data-driven marketing.
- Generation of offers to customers based on their purchasing habits.
- Improvement of the commitment of the client and increase of his loyalty.
- Reevaluation of the risk portfolio quickly.
- Customization of the customer experience.
- Adding value to the interactions with online and offline customers.