- Duration: 6 Months
- Level: Intermediate
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Flexible Fee Structures
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Best Experienced Faculties
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100% Placement Assistance
Description :
A) Data Science for Beginners
What exactly is data science?
Applications of data science
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Recommendation systems :
Virtually all types of recommendation systems take the help of data science for their operation. At present, many organizations such as Netflix and Amazon are using these types of systems.
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Internet search :
Data science helps Google to process more than 3 billion search queries every single day.
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Gaming :
At present, the development of games depends on machine learning techniques. Many gaming companies are using data science technology to improve the gaming experience.
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Image and speech recognition :
There are certain speech recognition systems that depend on data science to a great extent. Data science also helps to run the face-locking system in mobile devices.
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Banking :
One of the most significant data science applications happens to be banking. Data science and big data have helped banks manage their resources successfully while remaining updated with the competition.
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Health care :
Data science is also applied in the field of health care at present such as discovery of drugs, medical image analysis, and so forth.
Skills to become a data scientist
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Programming :
It’ll be a sensible idea to master at least one primary programming language. For example, many companies look for data scientists who have comprehensive knowledge of R or Python.
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Statistics :
A degree in statistics or having a background in the subject can also help you significantly. It will also be sensible to have experience in random variables, descriptive statistics, probability, percentiles, cumulative distribution function, and exploratory data analysis.
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Data visualization :
It is essential to know the visual representation of data when it comes to data science. Certain data visualization tools like Datawrapper, Kibana, ggplot, Tableau, and so on will help you to convert complicated information into an interesting and understandable format.
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Machine learning :
Even though it is not imperative to learn machine learning to become a data scientist, it’ll nevertheless be a preferable skill. It is a fact that the knowledge of machine learning will help you to stay ahead of your competitors.
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Teamwork :
It is not possible for any data scientist to work in isolation. Therefore, you have to develop your teamwork and communication skills to become a data scientist besides your computer and technical skills.
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Apache Spark :
This popular data technology will allow data scientists to operate algorithms faster. It will likewise enable you to manage unstructured data sets. It is a fact that Apache Spark will allow you to prevent any loss of data effortlessly while executing your projects in a streamlined manner.
B) Data Science Using Python & R Certification Course Training
Data science utilizing Python and R learning outcomes
This particular Data science training online course offered by UN IT ERP Academy will teach the core components of data science such as machine learning algorithms, data visualization, as well as data cleaning. This reliable data science training in Kolkata will enable the students to learn the most significant steps and procedures involved in dealing with big data, as well as its issues. It’ll be possible for the students to comprehend the significance of data science as well as the different types of activities performed by a typical data scientist. The primary objective of this best data science course in Kolkata will be to teach the students how to gather information, clean, as well as analyze data, create a model, and also comprehend the feedback following the deposition of the model.
The students will be able to explore different sources of data generation, gain comprehensive knowledge regarding text mining to existing Customer Sentiment Analysis, and develop an understanding of Predictive and Descriptive Analytics. Apart from this, this reliable and authentic data science training program will provide an opportunity for the students to work on live projects such that it is possible for them to procure and apply their newly acquired expertise in real-world situations. Furthermore, the students will be able to comprehend the different tools and techniques applied for the transformation of data and with the aid of the concept of Data Visualization represent data for effortless understanding as well. This training course will enable the students to learn to do the following:
- Generate customer sentiment analysis by performing text mining.
- Work with different types of data generation sources.
- Develop a comprehension of Predictive and Descriptive Analytics.
- Evaluate structured as well as unstructured information by making use of various types of tools and techniques.
- Create prediction models for everyday applicability.
- Implement machine learning and data-driven approaches for making business decisions.
- Make use of data visualization ideas to represent information for easy comprehension.
- Perform forecasting to make sensible business decisions.
Data Science Certification Modules
How will we get you prepared?
- Live Free Webinars
- Extra assignments for more than 40 hours.
- Lifetime LMS Access.
- LinkedIn and resume review sessions.
- Job placements in the departments of data science.
- Around-the-clock support.
- Complimentary courses.
- Hands-on experience on live projects.
- Unrestricted quiz session and mock interview.
- Offline hiring events.
c) Python Programming for Beginners
Overview of core Python course
One can consider Python to be one of the most well-known programming languages utilized by data
scientists at present. Explore the different Python packages to evaluate information and
comprehend sophisticated theoretical concepts such as Exception Handling, Multi-Threading,
Sequence, Writing Scripts, as well as File operations in Python. Comprehend the basics of this
amazing language while getting practical experience with Python’s functional applications. Learn
Python Dictionaries, Sets, as well as Data Structures.
This Python training in Kolkata course emphasizes providing a comprehensive understanding of this
programming language that happens to be a lucrative expertise right now. Being a top-notch and
reliable Python training institute in Kolkata, our course consists of all the essential concepts of
Python and will provide the students with a profound knowledge of the basics of Python
programming along with the knowledge of object-oriented programming. Consequently, do not give
any second thoughts and enroll in this, reliable Python course in case you would like to become an
expert in this language and take advantage of the numerous job opportunities in this particular
department.
What do you mean by Python?
Being an extremely flexible language, Python has the ability to satisfy the requirements of engineers, web developers, and analysts. Moreover, it has the support of an active community of programmers. Python happens to be a general-purpose language, which one will not find difficult to learn and it is likewise appropriate for different tasks from some particular fields out there. It is a fact that Python is suitable for scripting and consists of various types of testing frameworks, as well as lots of Data Visualization.
Learning outcomes of this Python course
We can regard Python to be an embedded scripting language utilized for data science, web
development, as well as cloud operations. This course will help the students to understand the
application of coding while creating, operating, and debugging a code as well. In this particular
course, the students can use this language for data visualization and statistical analysis together with
comprehending and exploring the main programming features such as conditioners, data structures,
variables, loops, as well as functions.
Apart from this, the students will likewise be introduced to the sophisticated techniques used for
implementing sophisticated frameworks together with an introduction to parallel and concurrent
programming. Moreover, it will likewise be possible for the students to learn how to write decision
statements and loops. They can learn the usage of Python classes for designing object-oriented
programs. As a result, do not give any second thoughts and get enrolled for this authentic Python training in Kolkata which has been designed for professionals like software engineers, students,
systems analysts, support personnel, as well as software engineers.
- Comprehend the basics of Python Programming Language
- Comprehend the basics of Functional Oriented Programming Languages
- Obtain an extensive understanding of writing programs
- Comprehend the application of coding
- Learn to program and design Python applications
d) AI & Deep Learning
Overview of Artificial Intelligence Training
What do you mean by Artificial Intelligence?
What do you mean by Deep Learning?
AI training outcomes
- Run Neural Network Machine Learning Algorithm variants
- Create Artificial Intelligence systems with the help of Deep Learning Algorithms
- Implement Image Processing applications along with Deep Learning solutions with the help of Convolution Neural Networks
- Run practical applications of waiting games driven by Artificial Intelligence by making use of Reinforcement Learning as well as Q-Learning
- Perform NLP (Natural Language Processing) and Text Analytics to evaluate sequence data by making use of Recurrent Neural Network
- Get comprehensive knowledge regarding the applications of TPUs (Tensor Processing Units) and GPUs (Graphical Processing Units) while using Deep Learning Algorithms
- To make use of different Python libraries like TensorFlow, Keras, OpenCV, and so on that are used to solve Deep Learning and Artificial Intelligence issues
Artificial Intelligence certification training modules
This module on Artificial Intelligence begins with an intro to Deep Learning and Python libraries such as Theono, Torch, Caffe, Keras, Tensorflow, OpenCV, as well as PyTorch followed by a comprehensive knowledge of Keras, OpenCV, Tensorflow, and PyTorch. This module will allow you to get a proper comprehension of Artificial Intelligence around design as well as its implementation. Comprehend the difference between MLP or ANN and perception. Get comprehensive knowledge regarding the CRISP-DM procedure employed for Data Analytics / AI projects along with the different phases involved in the comprehensive project life cycle. This module will likewise help you to learn about the real-world application and architecture of DBNs (Deep Belief Networks) while using text- to-speech and speech-to-text models. We will likewise allow the students to create a chatbot in this module by making use of retrieval models and generative models while comprehending the RASA NLU framework thoroughly.
e) Data Science & AI
What is meant by Data Science?
What do you mean by Artificial Intelligence?
Data science and AI course details
- Work with tools utilized for the evaluation of organized as well as unorganized data.
- Make use of data generation sources.
- Applying machine learning approaches for decision-making in business.
- Learn how to differentiate between Predictive and Descriptive Analytics.
- Create Customer Sentiment Analysis by performing text mining.
- Create prediction models for everyday applications.
- Evaluate images, videos, and texts.
- Make proactive business decisions by performing forecasting.
- Create Deep Learning and AI solutions by using Python libraries like TensorFlow, Keras, and OpenCV.
- Apply GPUs (graphical processing units) in Deep Learning Algorithms.
f) Exclusive Python & R Programme for Beginners
Overview of the Data Science Certification Program
It is a fact that data science happens to be a 90% statistical analysis and it is fair that the premier
modules must bear an introduction to Data Visualization and Statistical Data Business Intelligence
techniques. The core modules begin with an emphasis on the “4” imperative hypothesis tests. It’ll be
possible for the students to deal with Inferential Statistics, Plots, as well as different Probability
Distributions in this module. Moreover, a short exposition on Descriptive Analytics/ Exploratory Data
Analysis has been huddled in between.
The noticeable usage of Multiple Linear Regression to create Prediction Models has been
emphasized. These succeeding modules deal with data mining with Supervised Learning and the
usage of OLS and Linear Regression. Besides this, the following modules have discussed the theory
behind Logistic Regression, Lasso and Ridge Regressions, Advanced Regression for Count Data, and
Multinomial Regression.
What do you mean by data science?
What do you mean by a data scientist?
Outcomes of data science training learning
- Work with different sources of data generation.
- Evaluate structured as well as unstructured data by making use of various tools and techniques.
- Perform Text Mining to produce Customer Sentiment Analysis.
- Develop a comprehension of Predictive and Descriptive Analytics.
- Create models for everyday applicability.
- Make use of Data Concepts to represent data for simple understanding.
- Applying data-driven machine learning techniques for making business decisions.
- Perform forecasting to make practical business decisions.
Get Placement from UN IT ERP ACADEMY - Data Science Course
Video testimonial
Data Science Course:
UN IT ERP Academy offers a comprehensive Data Science course, considered the most extensive program available. It covers the entire lifecycle of Data Science, including concepts such as data collection, extraction, cleansing, exploration, transformation, feature engineering, integration, mining, prediction modeling, visualization, and solution deployment. The training covers a wide range of skills and tools, including statistical analysis, text mining, regression modeling, hypothesis testing, predictive analytics, machine learning, deep learning, neural networks, natural language processing, predictive modeling, R Studio, Tableau, Spark, Hadoop, as well as programming languages like R and Python. UN IT ERP Academy, known as the top Data Science training institute, provides end-to-end services, from training to placement, with a track record of successfully placing over 400 participants in renowned multinational companies such as E&Y, Panasonic, Accenture, VMWare, Infosys, IBM, and more. UN IT ERP Academy’s training program is highly regarded in the industry for its excellence.
Why Choose UN IT ERP Academy for Data Science Training?
If you are serious about pursuing a career in Data Science, UN IT ERP Academy is the ideal choice. As one of the premier Data Science training institutes, we have helped thousands of professionals establish successful careers in Data Science, both in India and abroad. Our specialization lies in providing comprehensive training that extends to job placement. We guide and support our participants every step of the way, assisting with concept upskilling, completing assignments and live projects.
UN IT ERP Academy maintains a dedicated placement cell and has partnered with over 150 corporate entities to facilitate interviews and job placements. Our trainers are experienced Data Scientists with over 15 years of professional expertise. Many of them are alumni of prestigious institutions like IIT, ISB, and IIM, and some hold PhD degrees. With such strong faculty, UN IT ERP Academy’s certification is recognized as the best in the field of Data Science. We offer a blended learning model that encompasses classroom sessions, instructor-led online sessions, and e-learning (recorded sessions) under a single enrollment. This combination of learning modes creates a synergistic impact on the learning process. Participants have the opportunity to attend an unlimited number of instructor-led online sessions conducted by different trainers for a period of one year at no additional cost. UN IT ERP Academy is widely acknowledged as the leading Data Science training institute, providing mastery of Data Science concepts and facilitating job placements.
Data Science: Unveiling Insights from Data
Data Science involves uncovering hidden insights from data, analyzing trends, behaviors, and making interpretations and inferences to support informed decision-making in business. The individuals who carry out these activities are known as Data Scientists or Data Science professionals. Data Science has emerged as one of the most sought-after professions, gaining recognition from prestigious institutions like Harvard and becoming highly desirable globally.
Why Should You Consider Taking a Data Science Course?
The answer is a resounding YES, and here’s why. The ongoing digital revolution has generated an immense amount of data across various domains. As a result, the demand for skilled Data Science professionals who can evaluate and extract meaningful insights from this data is skyrocketing, creating millions of job opportunities in the field. The gap between supply and demand for Data Scientists is substantial, leading to lucrative salaries and ample career prospects. Data Scientists are considered at the forefront of the job market, with a career path that is both enduring and rewarding due to the ever-increasing generation of data.
Here are some key statistics that highlight the significance of Data Science:
- NASSCOM reports a staggering 140,000 job vacancies in the fields of Data Science, Artificial Intelligence, and Big Data.
- By 2021, the world is projected to face a shortage of 230,000 Data Science professionals.
- According to the Talent Supply Index, the demand for Data Scientists in India increased by 417% in 2018.
- Glassdoor’s 2018 rankings place Data Science as the best job to pursue.
- The Harvard Business Review famously labeled Data Scientist as the “Best job of the 21st century.”
Is Data Science Certification Worth Pursuing as a Career?
Absolutely! Data Science and Analytics have created numerous job opportunities across all industries worldwide. Businesses now recognize the value of analyzing historical data to make informed decisions and enhance their operations. The digital transformation prevalent in every aspect of business enables the generation and analysis of data, leading to a surge in demand for Data Science professionals. This demand-supply gap has driven salaries in Data Science to unprecedented heights, making it one of the most rewarding fields. Furthermore, the continuous and exponential growth of online data ensures a lasting and promising career for Data Scientists.
Why UN IT ERP Academy is the Premier Data Science Training Institute?
UN IT ERP Academy stands as the top choice for Data Science certification training, offering comprehensive online, classroom, and self-paced e-learning courses. Our course agenda provides detailed information on the complete Data Science curriculum.
Who Should Enroll in a Data Science Course?
Professionals from diverse backgrounds can benefit from pursuing a Data Science course to enhance their careers. This includes:
- Individuals from any domain with logical, mathematical, and analytical skills.
- Professionals working with business intelligence, data warehousing, and reporting tools.
- Statisticians, economists, and mathematicians.
- Software programmers.
- Business analysts.
- Six Sigma consultants.
- Fresh graduates from any discipline with strong analytical and logical skills.
Interview Preparation Sessions
Participants who complete our Data Science training and projects will be given access to our Placement Incubation Program. This program includes thorough interview preparation sessions focused on Data Science. We provide an extensive collection of interview questions and answers to help participants prepare. A dedicated Data Science Subject Matter Expert (SME) will assist with resume building, conduct mock interviews, evaluate knowledge and expertise, and provide constructive feedback. Our SMEs will guide participants through the entire interview preparation process until they secure a placement. We also offer guidance on building a compelling LinkedIn profile and share industry tricks to enhance resume marketability.
Course Curriculum
Module 1-Introduction to Basic Statistics using R and Python
Module 2-Probability and Hypothesis Testing
Module 3-Exploratory Data Analysis -1
Module 4-Linear Regression
Module 5-Logistic Regression
Module 6-Deployment
Module 7-Data Mining Unsupervised Clustering
Module 8-Dimension Reduction Techniques
Module 9-Association Rules
Module 10-Recommender system
Module 11-Introduction to supervised Machine Learning
Module 12-Decision Tree
Module 13-Exploratory Data Analysis -2
Module 14-Feature Engineering
Module 15-Model validation methods
Module 16-Ensembled Techniques
Module 17-KNN and Support Vector Machines
Module 18-Regularization Techniques
Module 19-Neural Networks
Module 20-Text Mining
Module 21-Natural Language Processing
Module 22-Naive Bayes
Module 23-Forecasting
Module 24-Survival Analysis
Module 25-End to End project Description with deployment