Data Analytics

Data Analytics Courses in Kochi and Kozhikode

The Data Analytics courses in Kochi offered by Techolas Technologies are the foundation for your awareness of data analysis. The IT training offered by our experts is also one of the best data analytics courses in Kozhikode that will support organizational innovation by assisting you in integrating and managing data analytics into decisions and procedures.


Choosing the right Technology will ensure a secure and futuristic career. IT does not demanding coding passion always, here you have choices and we could help you to get the awareness.

200 Hours on-demand training

50 hours projects

2 projects (Industrial projects)

20 hours pre-placement program

Certificate of completion

Next Batch : 11th July 2022 & 21st July 2022

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Our Certifications

After the completion of your course under our trainers, you will be provided with a total of three certifications which includes- NACTET which has affiliation over 100 and more countries, a certificate of completion and an internship certificate.

Data Analytics Internship Certification Courses in Kochi and Kozhikode
Data Analytics Completion Certification Courses in Kochi and Kozhikode
Data Analytics NACTET Certification Courses in Kochi and Kozhikode
Data Analytics

Before coming to a conclusion, one may analyse raw data and study them deeply. Such a process is known as data analytics. With them, businesses could uncover patterns to extract valuable insights. Therefore, when you had learned them, you could make an effective marketing strategy for a business, streamline operations, make more informed decisions, and enhance customer experience and so on. Nevertheless, for human consumption, raw data will be working as per algorithms. Techniques of data analytics will be automated into mechanical processes. Anyhow, its major motive is to better the overall efficiency of a system or business. Data Analytics is actually executed through several software tools such as data visualisation, data mining programs, spreadsheets, reporting tools and open source languages.

Data analytics mainly works on predominantly four main approaches, namely, Descriptive analytics, Diagnostic analytics, Predictive analytics and Prescriptive analytics. These approaches are nothing else but checking into the matter and finding what has happened, its reason, what was going to happen and finally the solution to that issue, if any. For this, data analysts are seen interacting with raw programming languages such as Python to transform and manipulate the database. On the other hand, graphical modelling and statistical analysis could be done by tools for data analytics such as R.

Various diverse sectors had made use of Data Analytics such as the hospitality industry, retail industry and travel industry. What is common in all three of these sectors is that they will be obliged to gather large chunks of data and analyse them and fix any of its issues, by making a quick decision.


What you will get to learn in this Data Analytics course?

Apart from the interpersonal and technical skills that you already possess, you will be getting to learn about Qualitative and Quantitative data, statistical parameters, basics of Python, Central tendency and dispersion, sampling distributions, Machine learning, Tableau and various other things.


Who could join this Data Analytics course?

Since this course has got to do many things with data and accuracy, it would be best if they are being taken up by Computer Science, Statistics or Mathematics Graduates. Even otherwise, any graduates who have got interested to learn them may enrol for this Data Analytics course.


What are the job prospects available to you after completion of this course?

Like every other IT professional, the ones after you undertake this course, that you enrol in the No.1 Data Analytic Training Center will pay you outstanding salaries. The most popular job positions are Data Analyst, Business Intelligence Analyst, Quantitative Analyst, Data Scientist, Data Engineer, Operation Analyst, Data Analytics Consultant, Project Manager, Marketing Analyst and IT System Analyst. To be successful in these job prospects, you should master various technical skills.


What salary may you expect after securing these positions?

Even though it may differ in accordance with the place of your job location, the sort of job you are acquiring and the company that you are being hired, on average, you could earn around Rs. 2 lakhs to 8 lakhs per annum in the country. Overseas, it could be even higher. However, for that, you need to possess the right technical skills and master them to outdo other Data Analysts.


Why Techolas is the best place to learn them?

Besides, providing you with the certifications of this trendy course, we will be ensuring that you are placed in any of those top MNCs who pay their Data Analyst with big remuneration. The syllabus of the course is curated in such a way that a beginner who does not have much knowledge in the area is mastering the subject within no time.

Modules
Module 1 : Introduction to Data Analytics

Data Analytics: Importance

What is Data and different types of data

Qualitative and Quantitative Data

Digital Analytics: Impact on Accounting

Data Analytics Overview

Types of Data Analytics → Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics

Data Analytics Benefits

Data Levels of Measurement

Normal Distribution of Data

Statistical Parameters

Terminologies in Data Analytics

Module 2 : BASICS: Python and Statistics

Python fundamentals

SQL FOR DATA ANALYTICS

Variation Sources

Control and Specification Limits

Central tendency and dispersion

Probability

Probability Distributions

Sampling Distribution

Confidence interval estimation

Hypothesis testing

ANOVA

Randomize Block design

Post hoc analysis

Two-way ANOVA

Module 3 : MACHINE LEARNING

WHAT IS MACHINE LEARNING?

HOW DOES MACHINE LEARNING WORK?

TYPES OF MACHINE LEARNING (SUPERVISED LEARNING, UNSUPERVISED LEARNING AND REINFORCEMENT LEARNING)

AI VS ML VS DL

DATA CLEANING

DATA REDUCTION(PCA)

LINEAR REGRESSION

LOGISTIC REGRESSION

SVM

DECISION TREE ALGORITHM

RANDOM FOREST ALGORITHM

KNN

NAIVE BAYES ALGORITHM

K MEANS ALGORITHM

HIERARCHICAL CLUSTERING

ASSOCIATION RULES

APRIORI ALGORITHM

Q LEARNING

MACHINE LEARNING MINI PROJECT

MODULE 4: TABLEAU

Tableau Intro

Installation of Tableau

reating charts in Tableau

Filters in Tableau

Creating calculated field

Applying Analytics to the worksheet

Dashboard in Tableau

Tableau mini project

Excel introduction

Excel sheet overview

Cleaning Data in excel

Charts

Pivot Tables

Conditional Formatting

XLOOKUP

Excel project

Power BI Introduction

Desktop layout overview

Importing datasets in Powerbi

Creating and formatting charts in Powerbi

Dax calculated field

Filters

Maps

Creating dashboards in Powerbi

Powerbi project