Master in Data Science

Data Science Course in Kochi and Calicut

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.

240 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 Science Course in Kochi and Calicut
Data Science Course in Kochi and Calicut
Data Science Course in Kochi and Calicut

Master in Data Science - ML, AI and Deep Learning

In the current scenario, when companies are depending on varied ways to develop predictive models as well as collect large volumes of data. They would be able to analyse their performance by this. So there is a wider scope for a Data scientist in every firm, as they would prove to be experts in handling, studying and analysing trends in data. And obviously, there arises more job openings for Data scientists. You could be one among them!

It must be done with the implementation of some programming languages and tools such as Machine Learning (ML), Artificial Intelligence and Deep Learning. Furthermore, some of the tools encompass a combination of algorithms and applications to model the random data. Hadoop, SQL, Python and other streams of data-oriented technologies are utilised for Data Science.

Machine Learning is yet another methodology of Data Science that is used for speech recognition, handwriting readers who are working for the postal service, and even spam detectors. With data, this methodology creates prediction algorithms. Here in the course, students will be introduced to varied popular machine learning algorithms, the building of recommendation systems and many more.

Moreover, something as innovative as Artificial Intelligence powers data science. Otherwise, they are making it possible for the machines to adapt things from experience, adjust to new inputs and perform tasks. When provided with enough chunks of data, they will work just like a human. Therefore, all IT enthusiasts who desire to curate and develop Artificial Intelligence applications in their field of study will outshine, beyond any doubt.

Each new piece of data could be enhanced with a kind of Machine Learning training model. For its processing, multiple complicated layers have opted. Or, in simpler words, Deep Learning works more similarly to how a normal brain would take decisions. At the end of the day, users could enjoy better personalisation using customer analytics.


What would be included in your curriculum during your course duration?



Who could learn this course?

To enrol for this Data Science online training course, you have to be a graduate in any subject. You just have to be curious enough to learn this new craft. Yet, a degree in Engineering or similar streams will turn out to be fruitful. Therefore, it can be preferred by Engineers, Software professionals, Marketing Professionals or IT professionals. How much you will be paid for your work as a data scientist? When you had mastered Data Science, you could further your futuristic career to a whole new phase. On average, certificate holders of Data Science are remunerated with high salaries in every firm globally. They could choose from the jobs such as Data scientist, Machine learning engineer, Data Analyst, and Statistical programming specialist. It would sum up to an annual income of 4 lakhs to 25 lakhs per annum. So, this had turned out to be one of the trendiest jobs in the year 2022, as found out by various job reviewing platforms. Why do you need to pick up Techolas? With numerous efficient faculties and their world-class training provided, the students at Techolas will get to receive appropriate guidance to excel both in the theories and practical, when deciding to learn Data Science. Within a few years of its functioning, Techolas had managed to become one of the No.1 training institutes in Kerala. Furthermore, the syllabus of the course is curated in such a way as the industry claims. Once getting acquainted and learning them our passing out students had excelled in the field by receiving huge salaries.

Modules

Module 1

INTRODUCTION CONCEPT OF DATA SCIENCE

INTRODUCTION

INSTALLATION OF ALL NECESSARY MODULES

CONCEPT OF DATA SCIENCE

Module 2

DEALING WITH IT WORLD, BASICS CODING CONCEPTS, DATABASE (SQL AND SQL COMMANDS)

Techolas Technologies Pvt Ltd is an IT software company allied with IT enhancement school realizing the futuristic demand of the new age career trends. We serve the most demanded curriculum and learning experience.

Module 3 : PYTHON FROM SCRATCH TO MASTER

INTRODUCTION TO PYTHON AND INSTALLATION, INTRODUCING PYCHARM, VARIABLE IN PYTHON

Techolas Technologies Pvt Ltd is an IT software company allied with IT enhancement school realizing the futuristic demand of the new age career trends. We serve the most demanded curriculum and learning experience.

LIST, SET, DICTIONARY, TUPLE

We’re the pioneers of data related programs for IT enthusiasts in Malabar. We escalate your upskilling and reskilling with the most advanced courses, tools and framework like python, Java, Flutter, ANGULAR, AWS, AI, SEO, SEM,SMM, CSS, MATPOTLIB, MySQL, Pandas.

DATA TYPES IN PYTHON, OPERATORS

At TECHOLAS there’s no mystery & Magic in placement, We’re transparent. It’s just the matter you deserve the career and we make it happen!!

FUNCTIONS AND MODULES

USER INPUT

IF,IF ELSE, IF ELIF

LOOP IN PYTHON FOR,WHILE

LOOP CONTROL STATEMENTS: BREAK, CONTINUE,PASS

FUNCTIONS IN PYTHON

FILTER MAP REDUCE, ANONIMOUS FUNCTIONS

DECODATORS

SPECIAL VARIABLES AND SPACIAL FUNCTIONS

OBJECT ORIENTED PROGRAMMING

CLASS AND OBJECTS, INIT METHOD

TYPES OF VARIABLES AND TYPES OF METHODS

INHERITANCE

ITERATOR, GENERATORS, FILE HANDLING

DATABASE CONNECTIVITY

GITHUB INTEGRATION

Module 4 : NUMPY PANDAS AND MATPLOTLIB

NUMPY: INSTALLATION AND INTRODUCTION, NUMPY ARRAY, DIFFERENT WAY TO CREATE NUMPY ARRAY,2D ARRAY, NUMPY ARRAY OPERATIONS, SLICING, LINEAR ALGEBRA, LOAD DATA FROM EXTERNAL SOURCE

PANDAS: INRODUCTION TO: PANDAS, DATA FRAMES DIFFERENT WAY TO CREATE DATAFRAMES, READ AND WRITE CSV, EXCEL, TEXTFILE, SQL READ AND WRITE SLICING, RESHAPING, OPERATIONS WITH DATAFRAME DATETIME INDEX, DATA CLEANING, GROUP BY, MERGE, CONCATENATE ANALYTICS USING PANDAS

MATPLOTLIB: INTRODUCTION TO MATPLOTLIB, LINE PLOT, BARPLOT, SCATTER PLOT, STACK PLOT, PIE CHART, PLOTTING WITH SEABORN AND ADVANCED CONCEPTS

Module 5 : STATISTICS

DATA, TYPES OF DATA, TYPES OF STATISTICS, CENTRAL TENDENCY

MEASURE OF SPREAD, VARIABLES AND TYPES OF VARIABLES

BASICS OF PROBABILITY CONCEPTS

RANDOM VARIABLES AND TYPES OF RANDOM VARIABLES

TYPES OF DISTRIBUTIONS (BERNOULLI DISTRIBUTION, UNIFORM DISTRIBUTION, GEOMETRIC DISTRIBUTIONS, BINOMIAL DISTRIBUTION, POISSON DISTRIBUTION, NORMAL DISTRIBUTION, EXPONENTIAL DISTRIBUTION)

COVARIANCE AND CORRELATION

CONDITIONAL PROBABILITY

CENTRAL LIMIT THEOREM AND SAMPLING DISTRIBUTIONS

FREQUENCY (ABSOLUTE FREQUENCY RELATIVE FREQUENCY RATIO, RATE PROPORTION)

PROBABILITY MASS FUNCTION, PROBABILITY DENSITY FUNCTION, CUMULATIVE DISTRIBUTION FUNCTION

DESCRIPTIVE AND INFERENTIAL STATISTICS (SKEWNESS AND KURTOSIS, POINT OF ESTIMATIONS-CONFIDENCE INTERVEL) MEASURE OF ERRORS (STANDARD ERROR, RELATIVE ERROR, CONFIDENCE INTERVAL)

Module 6 : 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 7: DEEP LEARNING

What is deep learning?

What is AI?

Applications of AI

Limitations of machine learning

How deep learning works

Artificial neuron

Perceptron (Single layer and Multilayer)

What are the activation function and different types of activation functions

Back Propagation and Gradient Descent Optimizers

Vanishing Gradient and Exploding Gradient Problems

What are Tensors and TensorFlow basic operations

Keras basic operations

Pytorch basic operations

Fully Connected Network

What is CNN (Convolutional Neural Network)?

CNN Layers

CNN Filters

CNN Architectures/Models

What is RNN (Recurrent Neural Network)

Difference between CNN and RNN

Structure of RNN (RNN Layers)

The disadvantage of Traditional RNN

LSTM (Long Short Term Memory)

GRU

Encoders and Decoders

What is Chatbots?

Chatbot Demo

Deep Learning Project

MODULE 8: NLP(Natural Language Processing)

What is NLP..?

Applications of NLP

NLP Basic Steps

NLTK

What is Stop words? How to remove it?

Spacy

Word embedding or Vectorization

Unigrams ,Bigrams, Ngrams

NLP MODELS (LSTM&GRU)

Pipeline Transformers

Sentiment Analysis

Speech to text and text to speech conversion using python

Building Alexa

NLP mini project

MODULE 9: Computer Vision

What Is An Image?

Opencv

What Is Anaconda?, Installation Of Anaconda

How To Read, Display And Write An Image

Drawing Functions In Opencv (Line, Rectangle, Ellipse)

How To Put Text To An Image

Open Webcam Using Cv2

Open And Save A Video

Channel Conversion(Gray Scale, HSV, YCbCr)

Copy & Paste Images

What Is Image Thresholding..?

Different Methods In Thresholding

Image Filtering

Histogram Of An Image

Morphological Transformations

Edge Detection

Contouring

Face Detection Using Haarcascades

Eye Detection

Smile Detection

Face Recognition Using Dlib

Cv Project

MODULE 10: 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