Master in Data Science

Techolas offers data science courses in kochi through which experts in the field help you learn data analytics, ai, python, data science and more. We also provide a data science course in calicut, kerala for all individuals who dream of growing the best career in the it field. 

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.

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.

Master in Data Science - ML, AI and Deep Learning

• If you are looking for 6 Month Diploma courses in Kerala , then techolas is the right place. We teach python programming for beginners. 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. In addition to that you learn artificial intelligence in our data science syllabus

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

• Application of Matplotlib, Machine learning, Artificial intelligence, Tableau, Pandas, Deep learning, Computer vision and Natural language processing.
• Use of statistics in Data Science
• Understanding regression models
• Finding insight through data visualization
• Predicting the future through data mining
• How to use decision trees for categorizations
• Variable prediction by Linear Regression and Logistic Regression
• Offering data-packed recommendations

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.

Module 1

• Introduction Concept Of Data Science
• Installation Of All Necessary Modules

Module 2

• Dealing With It World, Basics Coding Concepts, Database (sql And Sql Commands)

Module 3 : Python From Scratch To Master

• Introduction To Python And Installation, Introducing Pycharm, Variable In Python
• List, Set, Dictionary, Tuple
• Data Types In Python, Operators
• 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
• Creating Charts In Tableau
• Filters In Tableau
• Creating Calculated Field
• Applying Analytics To The Worksheet
• Dashboard In Tableau
• Tableau Mini Project