Top 10 Data Analytics Courses In Kannur With Placements

September 21, 2025|

Vanthana Baburao|

Data Analytics, Courses|

Data has revolutionized our perspective on the world during the last ten years. Every day, roughly 2.5 quintillion bytes of data are generated around the world, including the numerous emails, texts, and YouTube videos we watch. A data analyst collects, filters, and analyzes data to produce an answer or solution. As a result, data analysts are in high demand among the world’s greatest organizations, rendering data analysis one of the most sought-after careers worldwide. Their benefits and compensation simply reflect the popularity of this role, which is predicted to grow at a rapid pace. To meet the increased demand, many colleges and institutions are offering Data Analysis courses. In this article, we will discuss the 10 Best data analytics courses in Kannur with Practical Training that will help you gain the skills and flourish in your career as a data analyst.

What is Data Analytics?

Data analysis is a way of cleaning, analyzing, interpreting, and displaying data with a variety of techniques and tools for business intelligence. Data analysis tools assist you in discovering valuable insights, which lead to more informed and successful decision-making.

The phrases data analysis and data analytics are often used interchangeably. However, there is only a slight distinction between the two. Data analytics is the overall discipline that encompasses all aspects of data management, including data collection, storage, organization, and analysis.

Data analysis encompasses both deep-dive tools and communication strategies, such as data visualization. In contrast, data analysis focuses on the process of converting raw data into meaningful statistics, information, and explanations.

Importance of Data Analytics

Data Science and Artificial Intelligence are two significant areas that will dominate the entire planet in the coming decades. These domains are currently employed in a wide range of real-world applications, including business, commerce, banking, GIS, health, climate change, automobiles, and crime analysis.

The fundamental concepts of Artificial Intelligence and Data Science are primarily utilized to detect and anticipate unseen information hidden inside the massive data available in real-world applications.

Using these strategies, one can find and assess significant data and make predictions about the future of data. Forecasting can be done by analyzing the form of trends concealed in the original data, and it can then be employed for the good of the community by applying various tools of mathematics and statistics which are widely available.

Ordinary database programs cannot handle large amounts of data and information. The value of Big Data analysis and Machine Learning is highlighted here. The Deep Learning mechanism, as part of Machine Learning, has the power to detect previously undiscovered information that would ordinarily be impossible to identify/retrieve via standard SQL query processing.

Data mining and data warehousing techniques are important mechanisms for storing and managing large amounts of data in various styles and formats that replicate real-world scenarios and provide an extensive array of tools and techniques for obtaining the most relevant information for data prediction using Artificial Intelligence, which conventional database management systems cannot do.

The future job market requires workers with technical knowledge and programming expertise to deal with these techniques, and many traditional programming techniques are becoming outdated with the introduction of these new ways.

In the current context, two types of experts are required to handle Data Science-related problems: Data Analysts and Data Scientists. The Data Analyst and Data Scientist handle the practical aspects of data analysis and interpretation, whereas the Data Analyst develops mathematical and statistical models for dealing with complex data.

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Data Analysis Methods

Text Analysis

Text analysis (also known as text analytics) uses statistical and linguistic analytical tools to gather and classify information for performance. The purpose of text analysis is to convert the naturally spoken or written language of humans into machine-readable data.

Text analysis systems can categorize information that is qualitative by topic, emotions, keywords, and intent because they comprehend subtle distinctions such as emotions and context.

However, before machine learning algorithms can make decisions on their own, they must be trained to recognize the nuances of human language. When examining unseen material, machines will be able to recognize various interpretations of the same word and its context if they are tagged and fed into text analysis tools.

Data Mining

Data mining, which is additionally referred to as knowledge discovery in data (KDD), is the act of identifying anomalies, patterns, and linkages in order to predict outcomes.

It entails techniques such as clustering (grouping similar objects), mining sequential patterns (identifying common sequences of objects or occurrences), and anomaly detection. Data mining applications include forecasting market behavior, allowing organizations to anticipate customer wants and take preemptive measures.

Statistical analysis

Statistical analysis, on its own, entails exploring and presenting massive volumes of quantitative data in order to find trends and patterns. While statistical analysis comprises a vast range of approaches, they can be divided into two major categories: Descriptive Statistics and Inferential Statistics.

Descriptive statistics data analysis defines, summarizes, and visualizes the fundamental characteristics of data using charts and reports. Inferential statistics data analysis is employed to draw assumptions about an entire population (such as a class of students or a country’s population) based on appropriately representative samples.

The most prevalent methods of inferential statistics are tests of hypotheses and estimation models. Statistical analysis is an excellent approach for firms to do market research.

Diagnostic Analysis

Diagnostic analysis, often called root cause analysis, seeks to answer the question, “Why did something happen?” Perhaps you have observed a sudden decrease in client complaints. But why is that? Did you enhance your customer service procedures, add more employees, or enhance a specific feature? These are all reasonable questions, and diagnostic analysis can assist you in establishing whether there is a strong or weak relationship between data points and potential reasons.

Predictive analysis

Predictive analysis uses previous data to draw conclusions about future events.
Organizations can benefit greatly from developing a predictive analytic model. This type of study enables you to use demographic data, purchasing data, and various other kinds of information to answer the question, “What is likely to occur in the future?”

This form of analysis allows you to anticipate customer wants, predict client attrition, and calculate how many leads may be converted into sales. Predictive analysis is becoming increasingly relevant to governments because it helps them to tackle potential problems before they develop.

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Prescriptive Analysis

Prescriptive analysis incorporates all of your data and insights to generate actionable insights. In a nutshell, it illustrates the optimal course of action to take in a given situation. This form of analysis works by examining various scenarios and selecting the most probable conclusion for each. This allows you to make a decision depending on your desired outcome.

This is an extremely advanced level of data analysis. Governments employ prescriptive analysis to better grasp the probability of worst-case scenarios in which human mistakes are costly.

Based on the findings of this type of analysis, they may develop an effective reaction strategy. Prescriptive analysis can also be used to integrate marketing strategies including customer analytics, data of the past, and competitive data to then go ahead and decide the next best step forward.

Data Analysis Process

As the amount and complexity of data available to businesses grows, so does the demand for a successful and effective plan for capturing its value. The data analysis process often involves numerous iterative stages. Determine the business question you want to address.

What challenge is the company attempting to solve? What is it that you need to gauge, and by what means will you accomplish it? Collect the raw data sets required to help you answer the question that was raised.

Data can be collected from either internal sources, such as a company’s customer relationship management (CRM) software, or secondary sources, such as government records or social networking application programming interfaces (APIs).

This frequently entails removing duplicate and anomalous data, resolving inconsistencies, standardizing data structure and format, and addressing whitespace and other grammatical issues.

Analyze the data. During this step, you may use data mining to uncover patterns in databases, or data visualization tools to help convert data into an understandable graphical format. Examine the findings of your analysis to determine how effectively the data addressed your initial query. What are the constraints of your conclusions?

Now let’s look into some of the data analytics courses in Kannur.

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List Of 10 Best Data Analytics Courses In Kannur

COURSE	FEES	DURATION
IIM SKILLS	₹ 49,900 + 18% GST	6 months + 2 months internship
University of Kannur	₹ 50,000	1 Year
ICT ACADEMY OF KERALA	₹ 30,000 + 18% GST	6 months
ACTE	Available on request	Available on request
IPSR ACADEMY	Available on request	30-40 days
IGMGURU	₹34950	40 hours
SIMPLILEARN	₹57000	12 months
360DigiTMG	₹40,000+Tax	3 months
SMECLABS	₹50000	6 months
Quick Xpert Infotech	Available on request	6 months

1. IIM SKILLS

Vaibhav Kakkar created IIM SKILLS in 2015, and it is headquartered in Delhi. They function as a global online platform. All IIM SKILLS courses are offered online, allowing for flexible learning alternatives.

Their Data Analytics Courses in Kannur are highly regarded for practical learning. This training is completely hands-on and offers an in-depth professional learning experience. And includes a 6-month live training and an optional 2-month internship.

Data Analytics Courses in Kannur Modules

Module Name	Important Topic
Module 1: Basic and Advance Excel	Introduction to Data Handling
	Data Manipulation Using Functions
	Data Analysis and Reporting
	Data Visualization in Excel
	Overview of Dashboards

Module 2: Visual Basic Application	Introducing VBA
	How VBA Works with Excel
	Key Components of Programming Language
	Programming Constructs in VBA
	Functions & Procedures in VBA
	Objects & Memory Management in VBA
	Error Handling
	Controlling Accessibility of Your Code
	Communicating with Your Users

Module 3: SQL	Basics RDBMS Concepts
	Utilizing the Object Explorer
	Data Based Objects Creation (DDL Commands)
	Data Manipulation (DML Commands)
	Accessing Data from Multiple Tables Using SELECT
	Optimizing Your Work

Module 3.1: SQL Server Reporting Services	Basics of SSRS
	Creating Parameters
	Understanding Visualization
	Creating Visualization Using SSRS

Module 3.2: SQL Server Integration Services	Understanding Basics of SSIS
	Understanding Packages
	Creating Packages to Integrate
	Creating Project Using SSIS

Module 4: Power BI	Introduction
	Data Preparation and Modeling
	Data Analysis Expressions (DAX)
	Reports Development (Visuals in Power BI)

Module 5: Data Analytics Using Python	Introduction to Basic Statistics
	Introduction to Mathematical Foundations
	Introduction to Analytics & Data Science
	Python Essentials (Core)
	Operations with NumPy (Numerical Python)
	Overview of Pandas
	Cleansing Data with Python
	Data Analysis Using Python
	Data Visualization with Python
	Statistical Methods & Hypothesis Testing

Module 6: Tableau	Getting Started
	Data Handling & Summaries
	Reports Development (Visuals in Tableau)

Module 7: R For Data Science	Data Importing/Exporting
	Data Manipulation
	Data Analysis
	Using R with Databases
	Data Visualization with R
	Introduction to Statistics
	Linear Regression: Solving Regression Problems

Module 8: Alteryx	Overview of the Alteryx Course and Fundamental Concepts
	Using the Select Tool to Rename Fields, Change the Data Type
	Understanding the User Environment and Alteryx Settings
	Filtering Data/Data Processing
	Blending/Joining Data from Different Sources
	Data Cleansing
	Impute Values
	Random Sample

If you are not satisfied with the first session of the data analytics training program in Kannur, you will receive a full refund. They also provide interest-free EMI payments and a 10% discount on group registrations.

CONTACT DETAILS

+919580740740

info@iimskills.com

2. University of Kannur

The Unversity of Kannur is offering data analytics courses through their Post Graduate Diploma in Data Science & Analytics. It is a one-year program offered by the School of Information Science & Technology in collaboration with the Departments of Mathematical Science and Statistical Science.

It provides a strong combination of knowledge and practice in data science and its applications in industry. It is designed to develop qualified Data Science experts.

This data analytics training program in Kannur also includes 10 weeks of industry-oriented hands-on real-life analytical projects to prepare students with a solid analytical and programming background, making them highly competitive and marketable upon completion of the program.

COURSE CURRICULUM

Mathematical and Statistical Methods Using R
Data Science and Algorithm Design
Machine Learning and Introduction to Python
Business Analytics and Prediction
Advanced Computational Methods

CONTACT DETAILS

0497 271 5185

https://www.kannuruniversity.ac.in/en/

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3. ICT Academy of Kerala

The ICT Academy is a top academy that provides data analytics courses in Kannur in conjunction with the Kerala government. Students who complete this degree will be prepared to explore jobs in technological industries or corporate companies that use such technologies.

ICT Academy is considered one of the top data analytics institutes in Kannur that offers a diverse curriculum that will prepare you for success in the market.

COURSE CURRICULUM

Introduction to Data Science
Python Programming
Data Visualization with Tableau
Statistics
Measures of Central Tendency and Dispersion
Simple Correlation and Regression
Data Preparation and Preprocessing
Clustering
Text Mining & Analysis
Testing of Hypothesis
Chi-Square Test, F-Distribution, ANOVA
Probability and Data Science
Classification
Database Concepts and SQL
Web Application Development

CONTACT DETAILS

+91 75 940 51437

info@ictkerala.org

4. ACTE

ACTE provides organized data analytics courses in Kannur in both distance learning and traditional classroom formats. They give you real-world training and projects during their weekday and weekend batches.

Their data analytics institutes in Kannur provide the best data analytics training program in Kannur at an affordable cost with 100% placement support. Their professionals have more than 12 years of cumulative industry expertise. Additionally, they provide a demo session wherein students can learn the fundamentals of data analytics.

Course CURRICULUM

Module 1: Descriptive Statistics
Module 2: Inferential Statistics
Module 3: Regression & ANOVA
Module 4: Machine Learning
Module 5: Regression and Classification Techniques -1
Module 6: Regression and Classification Techniques -2
Module 7: Challenges Involved with Big Data Analytics
Module 8: Prescriptive Analytics

CONTACT DETAILS

+91-7669 100 251

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5. IPSR Academy

Data analytics and its analysis are crucial in business since they help and improve the decision-making process. According to the current environment, the demand and opportunity for people with an understanding of Data Analysis will always be high as the world’s ‘Data to be processed’ grows rapidly.

Keeping this in mind, IPSR Academy provides data analytics courses in Kannur. Throughout the course, you will receive expert training, lab work, exams, access to an LMS, analytical tools, and, guaranteed placement assistance. This makes it one of the best data analytics institutes in Kannur.

COURSE CURRICULUM

Excel Spreadsheet
Data Wrangling
DataViz
Web Scraping
Data Collecting
Report Generation
Dashboards
Data Ethics
SQL
Tableau
Power BI Desktop
Python

CONTACT DETAILS

training@ipsrsolutions.com

6. IGMGURU

IGMGuru provides data analytics courses in Kannur as part of their Data Science with Python course. This course teaches all of the necessary methods and concepts. After successfully completing this data analytics training program in Kannur, you will be able to demonstrate your skills in data analysis, establish credibility, and seek a career as a Data Analyst.

COURSE CURRICULUM

Data Science Overview
Data Analytics Overview
Statistical Analysis and Business Applications
Python
Mathematical Computing (NumPy)
Scientific computing (Scipy)
Data Manipulation (Pandas)
Machine Learning (Scikit-Learn)
Natural Language Processing
Data Visualization using matplotlib
Data Science with Python Web Scraping

CONTACT DETAILS

+91-7240-740-740

info@igmguru.com

https://www.igmguru.com/

7. SIMPLILEARN

The online learning platform, SimpliLearn, is one of the best providers of data analytics courses in Kannur. The Data Analyst course has been developed in synergy with IBM. In this course, you will be taught the most relevant analytics tools and techniques that will make you qualified for the top data analyst jobs across the world.

It is one of the best data analytics institutes in Kannur and, along with live instructor-led virtual classes, also contains self-paced study videos. The combination of theoretical knowledge and on-the-job experience will give you the right skills necessary for the position of Data Analyst.

COURSE CURRICULUM

Business Analytics with Excel
SQL
Programming Basics with Python
R programming
Data Analytics with R
Tableau Training
Data Analyst Masters Capstone
PowerBI
Industry Master Class- Data Analytics

CONTACT DETAILS

1800-212-7688

https://www.simplilearn.com/

8. 360DigiTMG

360DigiTMG is known to provide one of the most effective data analytics courses in Kannur. The goal of this course will be to teach you to process data in a variety of ways and how to solve complex business problems.

It is one of the data analytics institutes of Kannur that will let you see the type of expertise and technologies that are needed to manage a large data collection through Data Analytics coursework.

Their data analytics training program in Kannur also includes appropriate case studies in order to enable students to get practical experience and face real-world challenges. In short, this will get you ready for any type of job that exists in the labor market.

COURSE CURRICULUM

Python
Tableau
Power BI
Advanced Excel
SQL
Google Looker Studio

CONTACT DETAILS

1800-212-654321

enquiry@360digitmg.com

https://360digitmg.com/

9. Quick Xpert Infotech

The best among the data analytics courses in Kannur is the program by Quick Xpert Infotech. They are an ISO-accredited school and the students they train both in India and around the world including the USA, Germany, the UK, and Australia.

The school gives 100% placement support to the students so that their first career break is catered for. Besides data analytics training courses in Kannur, they even offer corporate training.

Their client portfolio spans across a range of sectors, including Infogix, GeBBS Healthcare Solutions, and PDG Software. They are the best for IT training and placement among all data analytics institutes in Kannur.

COURSE CURRICULUM

SQL
Python & Advanced Python
Excel Analytics
Power BI
Tableau

CONTACT DETAILS

+91-7276681665

inquiry@quickxpertinfotech.com

Frequently Asked Questions

Where is data analytics applied?

Data analytics may improve decision-making and performance for businesses of all sizes. Some of the most successful organizations in numerous industries, including Amazon and Netflix, Reliance Industries, and HDFC Bank, incorporate data into their business strategy to boost overall business performance.‎

What are the key competencies of a data analyst?

Data analysis uses various methods and technology. Data analysts should be proficient in structured query language (SQL), data visualization, statistical programming languages (such as R and Python), machine learning, and spreadsheets.

What is the amount of a data analyst’s earnings?‎‎

According to Glassdoor, the average compensation for a data analyst in India is ₹5,80,500. The compensation range is usually between INR 3 lakhs and 12 lakhs.

Do data analysts have to be strong at math?

Compared to data science, data analytics requires fewer mathematical skills. While you will most likely not need to grasp complex mathematics, a solid foundation in basic math and statistical analysis will help you succeed.

Conclusion

By the end of 2022, 85% of organizations will have employed big data and analytics innovations, according to a 2018 World Economic Forum (WEF) employment prediction. Furthermore, it was determined that 96% of the most successful firms intended to acquire new permanent personnel with the appropriate data analytics skills to fill big data positions. The organizations express concern over a shortage of trained data analysts. Harvard has named it the “sexiest job of the 21st century”.

IBM estimates that 700,000 new workers will be required by 2020 to meet the annual demand for data-related occupations. As a result, many institutes provide Data Analytics courses in Kannur. It is vital to address the increased demand for qualified data analysts in high-paying positions. If you enjoy experimenting with data, consider taking one of these top Data Analytics courses in Kannur.

Vanthana Baburao

Currently serving as Vice President of the Data Analytics Department at IIM SKILLS......

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