We offer an interactive instructor-led Data Science training course in Nigeria, the most comprehensive Data Science course in the market.

Companies are looking for data-driven decision-makers, and this data science training will teach you the skills you need to become just that.

You’ll learn to analyze data, communicate your findings, and even draw predictions using machine learning. Along the way, you’ll build portfolio-worthy projects that will help you get job-ready.

Covering the complete Data Science life cycle concepts from Data Extraction, Data Cleansing, Data Integration, Data Mining, building Prediction models and Data Visualization.

Skills and tools ranging from Statistical Analysis, Text mining, Regression models, Natural Language Processing (NLP), Hypothesis testing, Predictive Analytics, Machine Learning, R Studio, Tableau, programming languages like R, Python for Data Science.

Benefits of taking Data Science training

At heart, analytics is all about solving problems.

1. Gain problem-solving skills

At heart, analytics is all about solving problems. The problems just happen to be on a much larger scale than what many of us are used to – effecting entire businesses, along with the staff and customers that they serve.

The ability to think analytically and approach problems in the right way is a skill that’s always useful, not just in the professional world, but in everyday life as well. Venture Beat explains the value of deductive reasoning skills simply, explaining that:

2. High demand

This is the obvious benefit to learning data analytics, and the one most often focused on by students in higher education. Put simply, data analysts are valuable, and with a looming skills shortage on the horizon as more and more businesses and sectors start working with big data, this value is only going to increase.

 In practical terms, this means graduates with analytics skills will be able to command higher salaries and enjoy their pick of the available jobs.

People working on computer in an office

3. Analytics is everywhere

Aside from the financial benefits that the high demand for data analytics can provide graduates, the big data boom has also meant that there are all sorts of new opportunities cropping up for talented employees.

This could be working in a variety of different industries such as aviation or government, or simply having the opportunity to travel the world. With so many organizations looking to capitalize on data to improve their processes, it’s a hugely exciting time to start a career in analytics.

4. It’s only becoming more important

As we’ve touched on, now is something of a boom time in the world of analytics. With the abundance of data available at our fingertips today, the opportunity to leverage insight from that data has never been greater.

This will have a few impacts but primarily the value of data analysts will go up, creating even better job opportunities and career progression options. This makes now the perfect time to start a journey into the world of big data analytics, with many education experts pushing the topic’s importance as so vital that it should be taught in secondary schools as well as higher education institutions.

This is similar to what we’ve seen surrounding coding in recent years, and while it may be a few years before we see data analytics as a common school subject, there’s no denying how critical the discipline is likely to become in the very near future.

What you’ll learn in this Data Science Training Course in Abuja Nigeria

The course provides the entire toolbox you need to become a data scientist

Fill up your resume with in-demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow

Impress interviewers by showing an understanding of the data science field

Learn how to pre-process data

Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)

Start coding in Python and learn how to use it for statistical analysis

Perform linear and logistic regressions in Python

Carry out cluster and factor analysis

Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn

Apply your skills to real-life business cases

Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data

Unfold the power of deep neural networks

Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross-validation, testing, and how hyperparameters could improve performance.

Data science is a multidisciplinary field. It encompasses a wide range of topics. 

Understanding of the data science field and the type of analysis carried out 

Mathematics 

Statistics 

Python 

Applying advanced statistical techniques in Python 

Data Visualization 

Machine Learning 

Deep Learning 

Each of these topics builds on the previous ones. And you risk getting lost along the way if you don’t acquire these skills in the right order. For example, one would struggle in the application of Machine Learning techniques before understanding the underlying Mathematics.

Who this course is for

You should take this course if you want to become a Data Scientist or if you want to learn about the field

This course is for you if you want a great career

The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills.

Data science 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

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