Description

Data Science is an interdisciplinary field that draws techniques and theories within the context of mathematics, statistics, computer science and information science. It helps understand and analyze actual phenomena from unstructured and raw data, with the help of scientific methods, processes, and algorithms, which would be advantageous in decision making. This course focuses on teaching the students about the components, skills, tools and techniques of the course, like, programming, machine learning, data visualization and more. It also provides detailed knowledge of analytics and evaluation. Moreover, the institution also helps prepare the students for interviews and jobs.

This is an instructor-led course with an average batch size of 10 students. In the 80 hours of classroom training, you will get both the theoretical and practical knowledge needed to build the necessary skills. The institute’s holistic approach is stemmed to meet the long-term needs of the student and hence they provide 100% job/placement assistance with the option of seeking a trial class before the enrolment.

What will I learn?

  • Basics of Data Science, Brief Background in Python Or Unix and Jupyter and Numpy
  • You will be working on the Mini Project in data science.
  • You will learn Python programming and the use of python in data science  
  • Statistics, Math, Data Analytics and Machine Learning.

Specifications

  • Free Demo
  • 100% Placement Assistance
  • Missed Class Recovery
  • Certification by Institute
  • Instalment Facility
  • Interview Training

Data Science with Python

  • Introduction to Data Science
  • Brief Background in Python Or Unix
  • Jupyter and Numpy
  • Pandas
  • Visualization
  • Mini Project
  • Machine Learning
  • Working With Text and Databases
  • Final Project

 

Python introduction

  • Installing Pycharm, Pydev, Anaconda, Python

 

Python data types

  • Integer, String
  • List
  • Tuple
  • Set
  • Dictionary
  • Conditions
  • Loop
  • Numpy
  • Pandas
  • What is a Plot?
  • Matplotlib
  • Def (functions)
  • stack and queues

 

Basics of Maths

  • Vectors
  • Magnitude

 

Basics of statistics

  • Mean
  • Median
  • Arithmetic Mean
  • Geometric Mean
  • Harmonic Mean
  • What is Plotting?

 

Basics of Data Analysis

  • Data types
  • Data life cycle
  • Data analysis introduction
  • Diff B/w Data analysis and Data Analytics
  • Diff B/w AI / ML / DL
  • Scientific notation(conversion)
  • Basics of measurements
  • Basics of designing graphs
  • Basics of designing plots
  • Labelling and graphs
  • How to work with format certifications

 

Levels of Data Analysis

  • Descriptive
  • Diagnostic
  • Predictive
  • Prescriptive

 

Machine Learning

  • Basics of ML
  • scikit learn
  • Small example prediction
  • Machine learning Types
  • How does machine learning works
  • Regression and Classifications
  • Classifications
  • IRIS data sets
  • Classification Algorithms
  • Decision Tree

 

Decision Tree

  • Creating a decision tree
  • CART algorithm
  • Decision Tree Terminologies
  • Gini Index, Information Gain
  • Reduction Variance, Chi-Square

 

KNN Algorithm 

  • What is KNN?
  • Advantages of KNN
  • Disadvantages of KNN
  • Predicting with Example(ML)

 

Linear Regression

  • Logistic Regression
  • Clustering

 

PROJECT1 (ML)

  • Deep Learning using TensorFlow(Google)
  • Introduction to Deep Learning
  • Introduction to Artificial Neural Networks
  • Introduction to Tensorflow
  • what are Tensors
  • Tensor ranking
  • Types of Tensors
  • Image Classifications with Tensorflow I
  • Image Classifications with Tensorflow II
  • Face reorganization with Tensor flow
  • Activation Functions in a Neural network explained
  • CNN (Convolution Neural Networks) algorithm
  • RNNRecurrent Neural Networks for Language modelling
  • Gated Recurrent Units(GRUs), LSTMs
  • Recursive Neural network

 

Adv Deep Learning

  • NLP
  • NLP Terminology
  • NLP with Deep Learning

 

Project 2

  •  IT Systems Analyst
  • Healthcare Data Analyst
  • Operations Analyst
  • Data Scientist
  • Data Engineer
  • Quantitative Analyst
  • Data Analytics Consultant
  • Digital Marketing Manager
  • Project Manager
  • Transportation Logistics Specialist

 

Data Science Using R Training

  • Data Science Introduction & Use Cases
  • Python Basics: Basic Syntax, Data Structures
  • Python Basics: Loops, If-elif statements, Functions, Exception Handling
  • Statistics, Measures of central tendency, Population, Sample, Probability Distribution, Normal and Binomial Distribution, Random Variable, Pictorial Representations
  • Python Advanced: Numpy, Pandas
  • Python Advanced: Data Manipulation, Matplotlib

 

Machine Learning

  • ML Introduction & Use Cases
  • Statistics 2 – Inferential Statistics
  • Linear Regression
  • Logistic Regression
  • Decision Trees, Random Forest
  • Modelling Techniques (PCA, Feature Engineering)
  • KNN, Naive Bayes
  • Support Vector Machines(SVM)
  • Clustering, K-means

 

Deep Learning With NLP

  • Introduction to NLP & Deep Learning
  • Word Embeddings
  • Word window classification
  • Introduction to Artificial Neural Networks
  • Introduction to Tensorflow
  • Recurrent Neural Networks for Language modelling
  • Gated Recurrent Units(GRUs), LSTMs
  • Recursive Neural network

 

Advanced Machine Learning 

  • Market Basket Analysis & Apriori Algorithm
  • Recommendation System
  • Dimensionality Reduction
  • Anomaly Detection
  • XG Boost
  • Gradient Boosting Machine(GBM)
  • Stochastic Gradient Descent(SGD)
  • Ensemble Learning

 

Data Analytics With R

  • Data Science Introduction & Use Cases
  • R Basics: Basic Syntax, Variable assignment, Data Types-numeric, string, boolean
  • R Basics: Vectors, Matrices, Factors, Data Frames, ListsLoops, If-elif statements, Functions, Exception Handling
  • Statistics, Measures of central tendency, Population, Sample, Probability Distribution, Normal and Binomial Distribution, Random Variable, Pictorial Representations
  • R Advanced: Libraries
  • R Advanced: Data Manipulation, plots
  • Exploratory Data Analysis: Data Cleaning, Data Wrangling

Dr.Prem Kandela

The trainer has 15 years of industry experience and more than 10 years of teaching experience and trained 1000+ students. The trainer is an expert in Data Science, Robotic Process Automation and Python. The trainer has in-depth knowledge in Unix, Jupyter, Numpy, Blue Prism and Ui Path.

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Batch Start Date End Date Timings Batch Type
Batch 1 07-06-2021 30-07-2021 Mon-Fri 10:00 AM-12:00 PM Weekday

Description

Data Science is an interdisciplinary field that draws techniques and theories within the context of mathematics, statistics, computer science and information science. It helps understand and analyze actual phenomena from unstructured and raw data, with the help of scientific methods, processes, and algorithms, which would be advantageous in decision making. This course focuses on teaching the students about the components, skills, tools and techniques of the course, like, programming, machine learning, data visualization and more. It also provides detailed knowledge of analytics and evaluation. Moreover, the institution also helps prepare the students for interviews and jobs.

This is an instructor-led course with an average batch size of 10 students. In the 80 hours of classroom training, you will get both the theoretical and practical knowledge needed to build the necessary skills. The institute’s holistic approach is stemmed to meet the long-term needs of the student and hence they provide 100% job/placement assistance with the option of seeking a trial class before the enrolment.

What will I learn?

  • Basics of Data Science, Brief Background in Python Or Unix and Jupyter and Numpy
  • You will be working on the Mini Project in data science.
  • You will learn Python programming and the use of python in data science  
  • Statistics, Math, Data Analytics and Machine Learning.

Specifications

  • Free Demo
  • 100% Placement Assistance
  • Missed Class Recovery
  • Certification by Institute
  • Instalment Facility
  • Interview Training
₹23,000 ₹ 24,000

Hurry up!! Limited seats only

Comments (14)

Jyothi

May 18, 2020 10:32:02am

Hello myself jyothi i enrolled course in DATA BYTES data science with python course .Nowdays learning new course is essential so i joined data science with python .It was a great experience studies at this institute . They have course with placement which help out to get into good companies. I got job in'' FY'' as a data analyst . Also the trainer providing live projects which enhance my knowledge .I like to thank you skill at will provided such a good institute.

Comment

Mahesh Jat

May 19, 2020 04:39:30am

Nice Course

Comment

M Yamini

May 21, 2020 10:00:44am

Hy I’m Yamini I joined for data science course with python in data bytes . For anyone joining any course ,it is their own time ,opportunity cost of time that are more important then the cost of the program.As fresher I’m working non-technical filed i started everything from basic it helpe me in practising on the ongoing project which tremendously help out .I got job in Accenture I’m glad that data bytes really provide job opening. I like to thanx my trainer and data bytes consultancy.

Comment

Harshal Pandurang

May 21, 2020 10:17:13am

One of the best institutes for Data Science course.The best thing that the trainer take all his efforts to resolve the course related query and issues and also will provide additional knowledge.Well I singed up for weekend course and in few weeks online. I’m doin job in Infosys thanx to the trainer

Comment

Aritra Dutta

May 22, 2020 10:39:26am

I’m Aritra I took a course for Data science excellent trainer and good environment was very valuable for me a i immediately got a job after the course.Best thing is my trainer is very good and best technique i must say he has made my learning effortless easy.More practical learning and full hands on experience.Institute also provides me Data analyst ,Business Analyst,Data Architect job opportunities regularly and nice placement support. I’m working in Iron Mountain as Data Architect.

Comment

Anil Kumar N

May 22, 2020 11:01:30am

My self Anil I like data bytes institute because they provide job openings.Well i joined for Data science with and the trainer is experience person . I visited many institutes to learn data science all of them are teaching basics level. But data bytes course syllabus is enough for a experience guy .It really necessary to learn all content so that you can able to give answers in interviews .Institute help me i appreciate the attention on individual queries. Thank you

Comment

Chethan CR

May 24, 2020 08:08:01am

Hi myself chethan I joined data bytes data science course instructor Dr.prem teaches us in friendly manner ,and good environment to learn practically in AI and ML now I have gained more confident to get placement.My trainer had six years of experience in the same field with no bad complaints training was excellent.

Comment

Anupama D sajjan

May 24, 2020 08:20:42am

Hi I did my Data science with Python course in Data Bytes after my degree .Since I’m not from computer backgrounds i was afraid to join first .But before joining i had interactions with my trainer due his support i joined.Completed the course now I’m working as Database Administrator thanx to my trainer and data bytes consultancy.

Comment

Devesh Bohare

May 24, 2020 08:36:23am

Data Bytes the best institutes for getting training on Data Science.Its was very good institute for Al and ML who wants job in IT company.The most trending topic are been taught here and they give a large number of interviews in bangalore and see that you get placed as soon as possible.Thanx to Data Bytes team and my trainer .

Comment

Ravindra

June 1, 2020 10:49:17am

Hi friends i completed my course in Data Bytes Institute and i really feel it's worth the money if u read more u'll know y I'm telling you this , Great introduction to Python and programming as a whole.not only python I sincerely thank data Bytes for giving their best. Everything is broken down making it easy to understand. Had zero programming experience before and this class made it easy and fun to get into.its awesome.

Comment

Komal

June 1, 2020 10:59:52am

Data bytes is the best place to learn Data Science Course if you doesn't have any prior knowledge about it. I have taken the course a couple of months back and finished the course successfully with complete knowledge on data science. They have a decent curriculum. They has no.1 trainers who explains each and every concept in depth manner. They provides so many assignments and you get access to work within a live project too.

Comment

Shiva

June 1, 2020 11:26:32am

Databytes is best institute for “Python” course. having great industry level knowledge. He used to provide us live example. He has provided us all the concept in very easy manner. He has very good knowledge and teaching skill. I had no previous experience in coding but then he motivated me and taught from the root level. The best part is that he is always there to help you and guide you and the most important thing that as a human being he is very down to earth.

Comment

Naveen

June 2, 2020 07:33:48am

Databytes helped me build my data science portfolio with a bunch on interesting real-world data science projects. I wasn’t very good number crunching or logical thinking. Databytes helped me improve my skills by providing me great data science course content and a good mentor who resolved my queries immediately. It was the right choice for me to transform my career into data science."

Comment

Hitha Shetty

June 2, 2020 08:06:33am

Hello I’m Hitha Data Bytes is one of the best software training institute for freshers to start there journey in field of data scientists.Flexible timing with hands on experience with real time scenarios.Good value for the money paid and I got placed in flipkart . I’m satisfied with course and placement.

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