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OVERVIEW – DATA SCIENCE TRAINING IN ABUJA.

The Data Science Training at Neo Cloud Training Institute exposes students to the fundamental and advanced concepts surrounding Data or Information.
Among the many important topics covered in this training class are statistics, business analytics, computing, programming languages like Python, data visualization tools like Tableau and Excel, machine learning algorithms, stattistics and deep learning.

In a progressive world that is turning into a digital space, companies manage zettabytes of structured and unstructured information consistently. Modern advances have made it possible to save money and create smarter storage facilities for important data. Data Science is a multidisciplinary field that draws crucial conclusions from a wealth of structured and unstructured data using mathematical algorithms and scientific inference. These methods are implemented using computer programs, which are typically executed on extraordinary hardware because of the amount of processing required. Data Science is a blend of statistics, mathematics, machine learning, data analysis, visualization, domain knowledge and computer science. As it is evident from the name, the most significant segment of Data Science is “Data” itself. No amount of algorithmic computation can draw important bits of knowledge from inappropriate information. Data science includes different sorts of information, for instance, image data, text data, video data, time-dependent data, etc. Effective data scientists are able to identify important questions, collect data from numerous sources, clean and analyze the data, convert the results into solutions, and convey their findings in a way that strongly influences business decisions. These skills are necessary in almost every industry, making talented data scientists increasingly valuable to businesses.

OBJECTIVE OF THE COURSE
The major goal of this program is to give students the best educational knowledge possible so they can fill the growing demand for highly trained professionals in the disciplines of data science and machine leaning on a national and Global scale.

The overarching objectives are to:

• Educate students in computer science, statistics, and optimization with an emphasis on their applicability in data science and machine learning. This will enable them to critically choose and implement the best methodologies and approaches to extract pertinent and significant information from data.
•  Provide strong core training so that student can adapt easily to changes and new demands from industry.
•  Enable students to understand not only how to apply certain methods, but when and why they are appropriate.
•  Expose students to real-world problems in the lab and through experiential learning.

LEARNING OUTCOME
By the end of this course you will be able to :

• Translate fundamental programming concepts such as loops, conditionals, etc into Python code
• Understand the key data structures in Python.
•  Use Pandas to create and manipulate data structures like Series and DataFrames.
•  Wrangle different types of data in Pandas including numeric data, strings, and datetimes.
•  The importance of data preparation for predictive modeling in data science projects.
•  How to prepare data in a way that avoids data leakage, and in turn, incorrect model evaluation.
•  How to identify and remove irrelevant and redundant input variables with feature selection methods.
•  How to identify and handle problems with messy data, such as outliers, duplicate and missing values.
•  How to transform a dataset with different variable types and how to transform target variables.
•  Implement and analyze existing learning algorithms, including well-studied methods for classification, regression, structured prediction, clustering, and representation learning
•  Employ probability, statistics, calculus, linear algebra, and optimization in order to develop new predictive models or learning methods

WHO NEEDS THIS COURSE?
Data Analyst, statisticians, economist, computer scientist etc and Anyone who is interested in becoming a Data Scientist.

DURATION/COST
Month(s): 4
Total Class: 48
Total Hours: 108
Days: 3 days of every week

DETAILED COURSE CONTENT
Neo Cloud Technologies offers the best Data Science practical and theoretical training course, below are the various topics that will be covered