Data Analytics Course Overview

Data Analytics is the method of examining datasets to find trends and draw conclusions about the information they contain. The main purpose of data analytics is to discover useful information, draw conclusions, and assist in decision making. Data Analytics is essential for businesses to optimise their performance by implementing it into their business model and also reducing costs by recognising efficient ways of doing business. Our Data Analytics courses will equip the learners to assist a firm in making better business decisions and assessing consumer patterns and satisfaction, leading to the development of finer products and services. The course syllabus is specifically designed to help learners acquire skills for how to set achievable goals in the business field. Our experienced trainer will conduct interactive training sessions that will enable organisations to gain real-time insights on sales, marketing, finance, and product development.


Adavance Data Analytics Certification

All Delivery Methods Available: Yes

Choose Delivery Modes that Suits Your Requirements

classroom-blue classroom-white

Classroom Training

Enquire Now arrow-blue
led-blue led-white

Online Instructor-Led Training

Enquire Now arrow-blue
paced-blue paced-white

Online Self-Paced Training

Enquire Now arrow-blue
onsite-blue onsite-white

Onsite Training

Enquire Now arrow-blue

Roles Performed by Data Analysts

  • Visualisation
  • Mining
  • Collaboration

Data visualisation is the depiction of data using conventional images such as charts, plots, infographics, and even animations. Data visualisation analysts are largely responsible for determining useful, actionable insights for decision-makers via visualisation reports. The tools and technologies used in data analytics are essential in the Big Data age for analysing huge volumes of data and making data-driven choices. Data visualisation techniques make it easy to identify and comprehend trends, outliers, and patterns in data by employing visual components like charts, graphs, and maps.

Data mining is a systematic method used to create machine learning models that are further used by Artificial Intelligence (AI). A Data Mining analyst understands and selects data that is helpful to the company and use it to generate business activities. They find the important uncovered patterns, rules, and data throughout a big dataset. It enables organisations to create innovative strategies and generate revenue. Data mining helps to extract data from various primary and secondary sources as well as organises it in a particular format that can be easily approachable.

Collaboration across various departments and teams is critical to a company's success. It leads to distributed work, offers analysts with proper tools, as well as keeps data updated and organised, which speeds up the data analysis and cleansing process. A Data Analyst is responsible for collaboration with other teams to prepare data for ML engineers, data scientists, and other software development teams to create ML-based automated software. They enable the organisation to synchronise with the development teams to convey crucial information regarding data.


Levels of Data Analysis

Data analysis and levels assist company owners in not just collecting data but also managing and implementing it to improve their operations. It also helps entrepreneurs successfully handle semi-structured and unstructured data to apply it for proficient business growth. With this level of data analysis level, individuals can focus on business outcomes and the actions and decisions that enable them to work productively. Following are the three levels of data analysis:

  • Reporting
  • Insights
  • Predictions

Skills to Improve with Data Analytics Course

During this cyberspace age, the importance of the data analyst has grown rapidly, with job options spanning from banking to marketing to social media. A data analyst is appointed with the purpose of assisting businesses in making better decisions. They must be well-versed in statistical methodologies and models, in addition to understanding how to use computers efficiently. The top three skills required to be a successful data analyst are:

SQL Technical Skills


Business Intelligence Skills


Microsoft Excel Skills


Why we are the Best


Best Price Guarantee

You won't find better value in the marketplace. If you find a lower price, send us the offer, and we'll beat it.


Highly Experienced Staff

Our support staff and instructors have years of experience in meeting the specific needs of our clients and delivering exceptional quality.


Our Specialised Trainers

We have 2K+ certified instructors who have years of experience in their respective domains. They will provide the learners with desired skills and knowledge to achieve their desired outcomes.


Guaranteed to Run

Our training courses are 100% guaranteed to run on dates provided, whether they are classroom, virtual, or in-house.

Our Amazing Facts and Figures




Courses Running Daily




Locations Worldwide




Professionals Trained




Certified Instructors

Why is Data Analytics Important?

Data Analytics refers to the qualitative and quantitative techniques and procedures that are used to improve productivity and proficiency in businesses. The data can be used to upgrade the procedures and boost a company's or system's overall efficiency. Companies are enabled to cut costs by developing numerous efficient ways of doing business and storing large amounts of data by incorporating it into their business strategy. It also helps organisations to make effective business decisions and analyse customer satisfaction and trends, which leads to new and better services and products. Marketing teams use data analytics to acquire greater insight into how to make their firm more relevant and establish themselves in crowded marketplaces.

The benefit of inaugurating big successful plans for the business can lead to:

  • Retail
  • Healthcare
  • Smart Home
  • Logistics
  • Smart City
  • Safety and Security
  • Intelligent Building
  • Utilities and Smart Grids

Market Share and Data Analysis

Big Data Impacts

Big Data has significant impact on both savings and earned profits.

Enquire Now enquire impacts

Big Data

Big Data empowers businesses to gain insight into customer beliefs and preferences.

Enquire Now enquire big-data

Data Analytics

Data Analytics improves business efficiencies and leads to faster innovation cycles.

Enquire Now enquire benefits

How Data Analytics Empower Your Career?

A career as a data analyst can lead to a range of intriguing opportunities, such as data science, management, consulting, or specialty. When you gain experience as a data analyst, you can get the opportunity to advance your career in different field such as move on to data science, management, consulting, or a specialised data role depending on your goals and interests.


Business Plans

Data analytics capabilities assist business plan to increase 76% in the next two years.


Demands in Business

Data scientist in 2020 has increased their demand over 50% average across industries.


Jobs in Business

Data science jobs are going to increase by -28% through 2026.

Essential Data Analytics Capabilities

  • intelligence Business Intelligence and Reporting
  • predictive Predictive Analytics
  • visualisation Data Visualisation
  • location Geospatial and Location Analytics
  • wrangling Data Wrangling/Data Preparation
  • learning Machine Learning
  • streaming Streaming Analytics
  • preparation Business Intelligence and Reporting

Difference Between Data Science and Data Analytics

difference difference-md

Top Data Analytics Trends

Data Science, Artificial Intelligence (AI), and Big Data are the key trends in today's fast-paced markets where data derives organisations in endless magnificent ways. The data analytics sector is booming tremendously as more companies are using data-driven models to enhance their business operations.

trends trends-md

Scope and Future of Data Analytics in 2023

The data analysis industry is extremely useful for economic growth and is used in various fields. Data analytics helps organisations in collecting data and identifying patterns in the data. The non-IT sector has great potential for data analytics engineers in the future. The newly discovered approach of using data analysis and AI has led to the development of innovative solutions to different problems in different non-IT disciplines. The data analytics industry offers multiple benefits, helping businesses to collect data and deliver highly efficient products and services. The major scope of data analytics is:

  • IT Sector
  • Banking, Financial Services and Insurance (BFSI) Sector
  • Retail and E-commerce

What Our Clients Say About Us

Frequently Asked Questions

What is data analysis?

down-arrow up-arrow

Data analysis is a process of transforming, cleaning, and modelling data to find usable information for taking business decisions. Its goal is to extract usable information from data and make decisions based on analysis of data.

What are the types of data analysis?

down-arrow up-arrow

Text analysis, statistical analysis, diagnostic analysis, predictive analysis, and prescriptive analysis are the types of data analysis on the basis of business and technology.

What are the phases of data analysis process?

down-arrow up-arrow

Data requirement gathering, data collection, data cleansing, data analysis, data interpretation, and data visualisation are the different phases of data analysis process.

Will this training help me to get a better job with a high salary package?

down-arrow up-arrow

Individuals who hold Advanced Data Analyst skills will get higher ranks in companies and get paid more than an average Analyst.

Can you customise training material according to our company requirements?

down-arrow up-arrow

Yes, we have subject matter experts who will work according to your company’s requirements.