Data Scientist Course in Kochi (128 Courses Bundle, Online Certification)

Learn from Home Offer

What you get in this DATA SCIENTIST - Specialization | 150 Course Series?

608+ Hours

150 Courses

Course Completion Certificates

Lifetime Access

Self-paced Courses

Technical Support

Mobile App Access

Case Studies

About Data Scientist Course in Kochi

Course Name	Online Data Scientist Course Kochi
Deal	You get access to all videos for the lifetime
Hours	608+ Video Hours
Core Coverage	You get to learn data science using R, Python, Machine Learning, Artificial Intelligence, Big data & Hadoop, Predictive Modeling, Business Analytics, Data Visualization, and other areas under Data Science.
Course Validity	Lifetime Access
Eligibility	Anyone serious about learning data science and wants to make a career in analytics
Pre-Requisites	Basic knowledge of data and analytics
What do you get?	Certificate of Completion for the course
Certification Type	Course Completion Certificates
Verifiable Certificates?	Yes, you get verifiable certificates for each150 course, Projects with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills
Type of Training	Video Course – Self Paced Learning
Software Required	None
System Requirement	1 GB RAM or higher
Other Requirement	Speaker / Headphone

Data Scientist Course in Kochi Curriculum

Data Scientist Course in Kochi has been developed very carefully so that it can meet the requirement of the professionals and beginners who wants to master this technology. The course will start with a brief description of data science, the functionalities that can be implemented using this technology and things like that. The first unit has been named Python Data Scientist Courses. In this module, you will learn how to implement data science using the python programming language. In the next unit, you will get the opportunity to work on projects. There will be six projects and each project will be different and will be based on Data Science. The third unit has been named R Programming Data Scientist Courses where you will learn how to work in R programming language to bring the functionalities offered by data science.

The fourth module is again about projects. There are around eleven projects in the unit and each of the projects is based on R programming language. You will get a chance to learn SAS in the next unit that is named SAS Data Scientist Courses. There are around nine sub modules in this unit and it will take around 75 hours to be finished. In the sixth unit, you will be doing a project on SAS data scientist and the count of the project will be eight. The next unit will give you a detailed description of Hadoop Data Scientist Courses. You will be learning Hadoop followed by the live project in the next unit. A total of 17 sub-modules are covered in this unit and after that, you will be doing 14 projects in the same technology using Hadoop. The nine-unit has been named SPSS(2 Courses, 5 Projects) which states that it consists of two sub-modules together with five projects.

Tableau is considered very essential when we talk about mastering data science. In the next unit, you will be learning about Tableau which will be supported by 4 subunits and 4 live projects. All of the four subunits will be very separate and will be containing unique information. The next unit is the Minitab(5 Courses, 1 Project). In this unit, we have added five sub-modules to cover all the topics that fall under the court of Minitab where the learning is followed by one important project. The third last unit will make you an expert in Splunk. You will understand Splunk using the medium and advanced level examples. The second last unit will be all about Matlab. It is going to be a seven hours long unit where three sub-modules will be covered to give you extensive details about the subject. In the last unit, nine more More Courses, and Projects have been introduced to fortify your understanding of this technology.

MODULE 1: Data Science with Python Essentials Training

Courses	No. of Hours	Certificates
Machine Learning with Python 2024	5h 17m	✔
Machine Learning with Python Case Study - Covid19 Mask Detector	2h 05m	✔
Deep Learning: Automatic Image Captioning for Social Media with Tensorflow	2h 23m	✔
AI Machine Learning in Python	8h 37m	✔
Predictive Analytics and Modeling with Python	8h 26m	✔
Matplotlib for Python Data Visualization - Beginners	4h 12m	✔
Matplotlib for Python Data Visualization - Intermediate	2h 53m	✔
Matplotlib for Python Data Visualization - Advanced	6h 37m	✔
Pandas with Python Tutorial	5h 56m	✔
NumPy and Pandas Python	4h 8m	✔
Pandas Python Case Study - Data Management for Retail Dataset	3h 22m	✔
Python Case Study - Sentiment Analysis	57m	✔
Data Science with Python	4h 14m	✔
Artificial Intelligence with Python - Beginner Level	2h 51m	✔
Artificial Intelligence with Python - Intermediate Level	4h 34m	✔
AI Artificial Intelligence & Predictive Analysis with Python	6h 15m	✔
Video Analytics using OpenCV and Python Shells	2h 13m	✔
Machine Learning using Python	3h 26m	✔
Statistics Essentials with Python	3h 23m	✔
Project on Tensorflow - Implementing Linear Model with Python	1h 46m	✔
Project - Data Analytics with Data Exploration Case Study	5h 7m	✔
Random Forest Algorithm using Python	1h 27m	✔

MODULE 2: Data Science with R & Python Essentials Training

Courses	No. of Hours	Certificates
Seaborn Python - Beginners	2h 28m	✔
Seaborn Python - Intermediate	1h 18m	✔
Seaborn Python - Advanced	1h 56m	✔
PySpark Python - Beginners	2h 16m	✔
PySpark Python - Intermediate	2h 02m	✔
PySpark Python - Advanced	1h 18m	✔
Machine Learning Python Case Study - Diabetes Prediction	1h 02m	✔
R Studio UI and R Script Basics	4h 13m	✔
R Programming for Data Science \| A Complete Courses to Learn	5h 7m	✔
Logistic Regression & Supervised Machine Learning with R	4h 14m	✔
Decision Trees Modeling using R	1h 4m	✔
Project on ML - Churn Prediction Model using R Studio	1h 22m	✔
Financial Analytics in R - Beginners	3h 53m	✔
Financial Analytics in R - Intermediate	1h 28m	✔
Financial Analytics in R - Advanced	1h 35m	✔
R for Finance - Beginners to Beyond	2h 17m	✔
Comprehensive Course on R	3h 54m	✔
Time Series Analysis and Forecasting using R	4h 34m	✔
Project - Fraud Analytics using R	2h 34m	✔
Project - Marketing Analytics using R and Microsoft Excel	2h 9m	✔
Machine Learning with R	20h 25m	✔
Case Study - Customer Analytics using Tableau and R	2h 7m	✔
Case Study - Pricing Analytics using Tableau and R	2h 39m	✔
Business Analytics using R - Hands-on!	16h 21m	✔
Project - Market Basket Analysis in R	37m	✔
Project - Hypothesis Testing using R	3h 6m	✔
Data Visualization with R Shiny - The Fundamentals	39m	✔
Data Science with R	6h 2m	✔
R Studio Anova Techniques Course	2h 18m	✔

MODULE 3: Data Science with SAS Essentials Training

Courses	No. of Hours	Certificates
SAS Business Analytics for Beginners	10h 45m	✔
Predictive Analytics & Modeling with SAS	9h 19m	✔
Quantitative Finance with SAS	3h 29m	✔
SAS Statistics	8h 18m	✔
SAS ODS (Output Delivery System)	9h 36m	✔
SAS PROC SQL	13h 49m	✔
SAS Macros	7h 25m	✔
SAS Advanced Analytics	12h 22m	✔
SAS Graph	2h 1m	✔
SAS DS2	4h 59m	✔
SAS SQL	3h 01m	✔
SAS Practical - Macros	5h 5m	✔
SAS Advanced Programming	10h 7m	✔
SAS Categorical Data Analysis	7h 16m	✔
Certified SAS Base Programmer	12h 2m	✔
SAS Features for Starters	1h 5m	✔
SAS PROC SQL Features	1h 49m	✔

MODULE 4: Big Data & Hadoop

Courses	No. of Hours	Certificates
Big Data and Hadoop Training \| Online Hadoop Course	2h 2m	✔
Hadoop Architecture and HDFS	6h 13m	✔
MapReduce - Beginners	3h 01m	✔
MapReduce - Advanced	5h 35m	✔
Hive - Beginners	2h 47m	✔
Hive - Advanced	5h 11m	✔
PIG - Beginners	2h 1m	✔
PIG - Advanced	2h 13m	✔
NoSQL Fundamentals	2h 01m	✔
Mahout	3h 5m	✔
Apache Oozie	2h 11m	✔
Apache Storm	2h 4m	✔
Apache Spark - Beginners	1h 4m	✔
Apache Spark - Advanced	5h 49m	✔
Splunk Fundamentals	8h 33m	✔
Splunk Advanced 01 - Knowledge Objects	9h 29m	✔
Splunk Advanced 02 - Administration	39h	✔

MODULE 5: Learning from Projects & Practicals

Courses	No. of Hours	Certificates
Project on Hadoop - Sales Data Analysis	47m	✔
Project on Hadoop - Tourism Survey Analysis	53m	✔
Project on Hadoop - Faculty Data Management	35m	✔
Project on Hadoop - E-Commerce Sales Analysis	35m	✔
Project on Hadoop - Salary Analysis	49m	✔
Project on Hadoop - Health Survey Analysis using HDFS	56m	✔
Project on Hadoop - Traffic Violation Analysis	1h 25m	✔
Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce	2h 33m	✔
Project on Hadoop - Case Study on Telecom Industry using HIVE	2h 2m	✔
Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce	53m	✔
Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop	3h 34m	✔
Project on Hadoop - Sensor Data Analysis using HIVE/PIG	5h 26m	✔
Project on Hadoop - Youtube Data Analysis using PIG/MapReduce	3h 02m	✔
Hadoop and HDFS Fundamentals on Cloudera	1h 22m	✔
Project on Hadoop - Log Data Analysis	1h 32m	✔
SPSS 2024 - Beginners	1h 07m	✔
SPSS 2024 - Advanced	5h 19m	✔
Advanced SPSS Project: Impact of EMI on Home Loan	43m	✔
Advanced SPSS Project: Impact of Total Turnover in Equity Market	58m	✔
Advanced SPSS Project: Impact of Trade Data in Equity Market	46m	✔
SPSS GUI and Applications	1h 13m	✔
SPSS - Correlation Techniques	1h 8m	✔
Linear Regression & Supervised Learning with SPSS	3h 07m	✔
SPSS - Multiple Regression Modeling	2h 34m	✔
Logistic Regression & Supervised Learning using SPSS	2h 37m	✔
SPSS - Multinomial Regression	2h 2m	✔
SPSS GUI for Statistical Analysis	2h	✔
Tableau Desktop Training 2024	4h 21m	✔
Tableau Project-Creating Dashboard and Stories For Financial Markets	2h 08m	✔
Tableau Project - Russo-Ukraine War A Data Analytical Review	1h 02m	✔
Tableau	4h 7m	✔
BI Tools and Tableau Analytics	5h 38m	✔
Business Intelligence with Tableau	5h 43m	✔
Tableau Features Hands-on!	5h 32m	✔
Tableau Practical - Super Store Business Requirements	45m	✔
Analytics using Tableau	9h 28m	✔

MODULE 6: Minitab and MATLAB

Courses	No. of Hours	Certificates
Minitab for Beginners - 2024	1h 15m	✔
Advanced Minitab Training - 2024	4h 39m	✔
Minitab Practical - Impact of Predictors on Response	1h 35m	✔
Statistical Analysis using Minitab - Beginners to Beyond	4h 21m	✔
Minitab GUI and Descriptive Statistics	2h 43m	✔
ANOVA in Minitab	52m	✔
Correlation Techniques in Minitab	2h 18m	✔
Project on Minitab - Regression Modeling	9h 36m	✔
Minitab Predictive Modeling using Excel	55m	✔
MATLAB - Beginners	3h 9m	✔
MATLAB - Intermediate	47m	✔
MATLAB - Advanced	4h 1m	✔

MODULE 7: Database & SQL

Courses	No. of Hours	Certificates
Oracle SQL	17h 42m	✔
Oracle PLSQL	13h 2m	✔
Oracle DBA 1	9h 27m	✔
Machine Learning ZERO to HERO - Hands-on with Tensorflow	13h 03m	✔
Deep Learning ZERO to HERO - Hands-on with Python	11h 17m	✔
Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression	2h 07m	✔
Project on R - HR Attrition and Analytics	2h 11m	✔
Logistic Regression using SAS Stat	4h 26m	✔
Linear Regression & Supervised Learning in Python	2h 28m	✔
Logistic Regression & Supervised Machine Learning in Python	2h 6m	✔
Project on R - Card Purchase Prediction	2h 28m	✔
Develop a Movie Recommendation Engine	51m	✔
Random Forest Techniques and R - Employee Attrition Prediction	1h 6m	✔
Predictive Analytics Model for Term Deposit Investment using CART Algorithm	1h 38m	✔
Poisson Regression with SAS Stat	2h 21m	✔
Machine Learning Project using Caret in R	1h 58m	✔
Sales Forecasting using Time Series Analysis in Python	2h 13m	✔

Data Science Training – Certificate of Completion

What is a Data Scientist?

Data science can be defined as the technology that is primarily concerned with processing the data in a particular manner to transform it into some useful information. To implement this technology, there are several tools and programming languages are used. R and Python are the primary programming languages that have the libraries that are leveraged to implement this technology. In addition to that, there are several tools like Splunk, MatLab, Minitab, Tableau and so on are used to bring the functionalities offered by this technology. It gives the application the capability to deal with huge data and turn them into fruitful information. It plays a vital role in facilitating the business decisions which are made based on data that has been processed.

Industry Growth Trend

The overall data science platform market is expected to grow from USD 19.58 billion in 2016 to USD 101.37 billion by 2021, at a CAGR of 38.9% from 2016 to 2021.
[Source - MarketsandMarkets]

Average Salary

Average Salary$120,301 per year

The average salary for a Data Scientist is $120,301 per year in the United States.
[Source - Indeed]

Which Skills will you learn in this Course?

As discussed in the previous section, this application contains all the topics that are required by someone to master data science. You will get to learn about the python libraries that are used to implement this technology. R programming language is also covering the major part of this course where you will learn leveraging this programming language to implement the functionalities of data science. There are several tools on which you will get hands-on in this course Data Scientist Course in Kochi. Tableau is one of the tools that are used in data science and you will be learning it in this course. In addition to that, you will get a chance to learn other important tools like Minitab, MatLab, Splunk, and so on. After finishing this course, you will become able to work thoroughly in data science and will also become ample proficient due to the projects added in the course.

Pre-requisites

Data science is a vast topic and various technologies are leveraged to satisfy the purpose of the existence of this technology. The very first things in Python. One who is having hands-on experience in Python will find it very simple and interesting to use the libraries that are used to implement data science functionalities. The next important part is the R programming language. The trainees will be expected to have a good idea about R so that they can understand the advanced concepts and then complete the projects. The tools that are covered in this course are Splunk, MatLab, Minitab, and so on. If you are having some of the basic ideas about these tools, it will make your learning very helpful. We have explained easily of the topics very precisely in the course and even if these subjects are new to you, you will still find the course very convenient to learn.

Target Audience

Folks who are curious about learning this technology are the best target audience for Data Scientist Course in Kochi. They will be learning everything that is expected from the data scientists. The professionals who are already working in python and also want to learn the libraries that are used to bring the functionalities offered by data science can be the best target audience for this course. They will get to learn several new things that are expected from all the data scientists. The students who are pursuing their bachelors or masters can also be the best target audience for this course. They will be learning various new things that might not be part of their academics. The trainers who are already training folks in some of the modules of data science can also opt for this course to learn more about the technology and add the number of folks in their training.

Data Scientist Course Kochi – FAQ’s

Why should you take up the Data Scientist course in Kochi?

The demand for Data Scientists has always been booming for a few years. The urge to process the high volume of data makes it more and more beneficial for the organizations. Though one can opt for this course, it will be much helpful for you if you are opting for this course in Kochi. The reason behind this is, Kochi is full of organizations that need the data scientists who can help them to process their data and generate some useful information out of it. Folks who finish this training in Kochi will immediately start getting opportunities to implement their knowledge and will also improve their proficiency to work in this technology.

What is the Data Scientist market trend in Kochi?

Data science usage has registered the exponentially growing trend all across India since long back. If we talk about Kochi, the story of the trend is similar to that of the country. With the growth in count of organization, the urge of the data scientists has also jumped and it is expected to jump higher in the new future. The data is stored by the organizations in Kochi is increasing gradually on an everyday basis and to handle or process this data, they must need the data science expert to help their organization. The upward moving trend is generating various job vacancies that make the city more lucrative for data scientists. More Courses and Projects.

Sample Preview

Career Benefits

Data science is one of the booming technology throughout the world due to the increasing urge to processing the raw data to generate information. Due to this urge, the number of open positions for data scientists is also increasing day by day. This course is very suitable for the folks who are having an interest in programming and also finds it interesting to work with huge data. The important part is, data scientists are always offered good compensation as well as growth in terms of finance. If you are also looking for some of the good opportunities in this technology, you can opt for this course and make yourself master of this technology. Though the course might be completed in a month, please be updated that you will need to keep on practicing everything taught in this course to achieve excellent proficiency to work smoothly in this technology.

Reviews

Excellent

It was a well-explained course! Easy to understand and practice. Recommended for beginners.

Arjun Gaggar

Data Scientist Certification Course

The data scientist training covers t-distribution, Z statistic, and Central limit theorem with exceptional clarity. It helped me in understanding the concepts with such a depth that I would never forget them now. The examples are highly practical and apt. The parallel execution of formulas in R makes it simple to remember rather than just going through the formulae, this Data Science course explains the underlying concepts first. It is the best course on R-Statistics I have come across so far.
Linked

Abbas Singapurwala

Data Scientist Course

Business Analytics is an excellent course for beginners in both Statistics and R programming. A lot of concepts have been covered from basics. It includes descriptive analysis, regression modeling, time series forecasting. It’s good knowledge if someone does not have any background in these techniques.
Linked

Ankit Tyagi

Very good

Detailed and informative Data Scientist course. covered everything in depth. need to know basic statistics for this Data scientist course. but this will lay a solid ground to become a data analyst. with this course realized how powerful is R software and its possibilities. Loved every bit of the data scientist training and would do more courses from EduCBA

Mudassir Ahmed

Best Professional Development Platform

I have tried a lot of e-portals to have a complete set of curriculum on a specific professional course but did not find any. Thanks to EduCBA for their brilliant initiative to put details of the data scientist course and related topic in a single platform along issuing a course completion certificate……

SANJAY KUMAR KHILAR

Effective Tool for dashboard creation

This Data Science course is very informative and good for beginners. Clear, easy to understand and the instructor delivered the data scientist training in a very smooth way and covered a lot of topics. It lists the typical activities carried out in analytics and dashboard creation. Furthermore, it helps to define how to make a dashboard effectively. Simple and easily demonstrated Sales and Marketing analysis, chart, and table creation.
Linked

Patrick

Nice & Refreshing Course

This course on Hadoop and HDFS Basics was nice and refreshing. The instructor has explained all the concepts simply by providing sample examples. If you are completely new to Hadoop and need to learn basics then I recommend you to go for this Data Science course.

DATA SCIENTIST - Specialization | 150 Course Series