Data Analytics

Data analytics involves the process of cleaning, transforming, and modelling raw data to discover useful and valuable information for business decision making. It is one of the current tools which businesses are seeking to maximize to reach their full potential. Data analysis is a vital strategy for business growth, maintaining a competitive edge, entering new markets, and experiencing better business performance.

The overall importance of data analytics is to reveal trends and metrics that would be lost in the volume of data, using such information to optimize processes to increase the overall efficiency of a firm or system. Through data analytics, industries can reduce running costs by identifying more efficient ways of doing business. Firms and industries can make better decisions and help analyze customer trends and satisfaction. Demand for data analytics is high in the current business world as businesses are looking for ways to make sense of data and perform better than their close competitors.

Data analyst are skilled individuals who collect, process and performs statistical analyses on a large dataset. They discover how data can be used as a problem-solving tool. Data analysis tools include Google Analytics, Data Studio, Google Big Query, PowerBI, Python, Java, MATLAB, SAS, SQL, etc. These tools make it easier for users to process and manipulate data, analyze the relationships and correlations between data sets, and identify patterns and trends for interpretation.

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Trained Data Analysts
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There are different types of data analysis methods. They are: Text Analysis, Diagnostic Analysis, Statistical Analysis, Prescriptive Analysis, Predictive Analysis. 

Data analysis consists of the following phases: 1. Data Requirement Gathering

| 2. Data Collection | 3. Data Cleansing | 4. Data Analysis | 5. Data Interpretation  | 6. Data Visualization

Here is some consideration if you are interested in pursuing a career in data analytics:

Earn a certificate or qualification in a field with emphasis on statistical and analyti- cal skills, offered by Momentum

Learn important data analytics, visualisation and presentation skills

Get hands-on practical experience and create a project portfolio

Get your first entry-level data analyst job to get a foot in the door

There are several entry-level online data analytics training with a duration of three months and above. At Momentum, we provide beginner to expert level training, certifications, qualifications via coaching and mentoring, for you through this journey of becoming a professional data analyst.

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We work with world-class content providers to ensure our curriculum is up to date, relevant and usable for our Momentum associates.


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