Corporate and Academic Partners
Program Overview
This Advanced Certification in Applied Data Science and Machine Learning with Python is intricately designed for graduates and working professionals by The IoT Academy. It includes world-class instruction for Applied Data Science and Machine Learning regimes. Live sessions and the highly curated modules will give students real-life exposure and learning applications. The different modules cover major concepts like Statistical Thinking, Data Analysis & Visualisation, ... Learn Python, Tableau, Bokeh, Matplotlib, IPython, Jupyter, NumPy, Pandas, PyTorch, Scikit-Learn, Machine Learning in Python, NLTK, MySQL and More in a healthy atmosphere. It will help them to try out the applied concept for solving real-time issues.
Top skills you will learn
What do you get from this program?
Nurture Your Skillset With a well-defined advanced certification program, the students will be able to nurture their skillset by making complex things easier to perceive.
Live Interaction Sessions Lively interaction with industry experts, students will develop problem-solving abilities.
Get Noticed By Top Hiring Companies With the advanced certification program, students will get hired by top companies for their skills and analytical approach. Outcome-centric placement options to increase the rate of employability.
Certification Advanced Certification in Applied Data Science & Machine Learning with Python By The IoT Academy after successful completion of the program.
Who should do this program?
- Programming Graduates
- Data Science Enthusiasts
- Working Professionals
- Technology Enthusiasts
Certificate
Upon successfully completing this program, you’ll earn an Advanced Certification in Applied Data Science & Machine Learning with Python that is co-branded by E&ICT Academy, IIT Roorkee as the Knowledge Partner. This certificate will testify to your skills as an expert in DS & ML.
-
Earn your
certificate
-
Share your
achievement
Course Curriculum
Introduction to Python / Python Installation
- History of Python
- Why use Python?
- Starting Python
- Interpreter PATH
- Using the Interpreter
- Python Scripts on UNIX/Windows
- Python Editors and IDEs
- Install Anaconda
Hands-on: Learn about interpreters and Python Script.
String Operations
- String Operations
- Data Types & Variables
- Commonly used Operators
Hands-on: Write Python code to implement string operations.
Data Structures in Python
- Arrays
- Lists
- Tuples
- Dictionaries
- Sets
Hands-on:Write Python Code to understand and implement Python Data Structures.
Control & Loop Statements in Python
- For Loop
- While Loop
- Break Statement
- Next Statements
- Repeat Statement
- if, if...else Statements
- Switch Statement
Hands-on:Write Python Code to implement loop and control structures in R.
Functions & Classes in Python
- Writing your own functions (UDF)
- Calling Python Functions
- Functions with Arguments
- Calling Python Functions bypassing Arguments
- Lambda Functions
Hands-on:Write Python Code to create your own custom functions without or with arguments. Know how to call them by passing arguments wherever required.
Regular Expression
- RE Objects
- Pattern matching
- Parsing data
- Subexpressions
- Complex substitutions
- RE tips and tricks
- Using Modules
- The Import Statement
- Module Search Path
- Package Installation Ways
Hands-on:Write Python Code to create modules and execute them.
Object-Oriented Programming
- Introduction to Python Classes
- Defining Classes
- Initializers
- Instance Methods
- Properties
- Class Methods and Data
- Static Methods
- Private Methods and Inheritance
- Module Aliases
Hands-on:Write Python code to construct a class and define objects.
Data Science Foundation
- Introduction To Data Science
- Industry Applications
- Terminologies
Python Essentials
- Anaconda - Python Distribution Installation And Setup
- Jupyter Notebook
- Python Basics
- Data Structures
- Control Statements
R Language Essentials
- R Installation And Setup
- R Studio Basics
- R Data Structures
- Control Statements
- Data Science Packages
Maths For Data Science
- Essential Mathematics
- Linear Algebra
- Linear Transformation
- Types Of Matrices, Matrix Properties, And Operations Probability And Calculus
Statistics For Data Scienc
- Statistics Introduction
- Terminologies
- Inferential Statistics
- Harnessing Data
- Exploratory Analysis
- Distributions
- Central Limit Theorem
- Hypothesis Testing
- Correlation, And Regression
Data Preparation With Pandas
- Numpy Array Functions
- Data Munging With Pandas
- Imputation
- Outlier Analysis
Visualization With Python
- Visualization Basics
- Matplotlib Introduction
- Basic Plots
- Customizing Plots
- Sub-Plots
- Statistical Plots
- Seaborn Package Introduction
Machine Learning Associate
- Machine Learning Introduction
- Ml Core Concepts
- Unsupervised And Supervised Learning
- Clustering With K-Means
- Linear Regression
- Logistic Regression
- K-Nearest Neighbor
Advanced Machine Learning
- Bayes Theorem
- Naïve Bayes Algorithm For Text Classification,
- Decision Tree
- Ensemble Methods: Random Forest,
- Extra Trees
- Svm, Boosting Techniques
- xgboost
- Artificial Neural Network
- Adv Metrics
- Imbalanced Dataset
- Grid Search
- K-Fold Cross-Validation
SQL For Data Science
- Relational Database Management Systems Basics
- SQL Introduction
- Connection To SQL Databases
- Fetching Data With Select
- Where Condition
- SQL Joins
- SQL Crud Operations
Deep Learning – Cnn Basics
- Deep Learning Introduction
- Tensorflow And Keras
- Convolution Neural Network Basics
- End To End Image Classification Of Cats And Dogs Using The Tensorflow-Keras Platform
Tableau Associate
- Visual Analytics Basics
- Tableau Introduction
- Connecting To Datasource
- Dimensions Vs Measures
- Basic Plots
- Compound Plot
- Forecasting
- Publishing
Ml Model Deploy- Flask API
- Ml Deployment Strategies
- Flask Introduction
- Packing Training Ml Model
- Deploying It On Flask As API
Data Science Project Execution
- Data Science Project Management Method
- Business Case Risk
- Limitation Of Machine Learning
- Project Pitfalls.
Big Data Foundation/Hadoop Concepts
- Introduction to Big Data
- Spark Big Data for Data Science Processing
- Handling Big Data in the Machine Learning Pipeline.
Industry Projects
Industry projects are a part of online machine learning training. Such projects will ensure exposure to real-world experience for starting a career in DS & ML .
Dimension Reduction using PCA on University Data
Principal Component Analysis (PCA) is an unaided straight change method that is generally utilized across various fields.
Emotion Mining (Text Mining)
Emotion mining is the study of recognizing, examining, and assessing people's sentiments towards various occasions, issues, administrations, or some other interest.
Extracting Reviews From E-commerce Website Using Text Mining Algorithm
Text mining is the way toward looking at enormous assortments of text and changing over the unstructured content information into organized information for additional investigation like perception and model structure.
Forecasting Using Data-driven And Model-Driven Techniques
Forecasting model-driven and information driven technique is a promising method to acknowledge better execution of force framework dependability evaluation.
Hierarchical Clustering / Agglomerative Clustering On University Data
Clustering is quite possibly the most notable strategies in Data Science. From client division to anomaly location, it has a wide scope of employments, and various procedures that fit distinctive use cases.
Non Hierarchical Clustering - KMeans On University Data
The K-means algorithm is a well- known way to deal with discovering clusters because of its straightforwardness of usage and quick execution.
Predicting Adipose Tissue Area From Waist Circumference
Waist circumference is the best general indicator of stomach instinctive weight, while in ladies midsection to-hip proportion is a helpless marker of AFV and its utilization as a substitute proportion of instinctive fat should be avoided.
Predicting Mileage For Cars
Using linear regression method, a predictive model can be developed keeping in mind a few important points which includes business and data understanding, data cleaning and preparation methods, model development, evaluation and testing methods.
Predicting The Strength Of Concrete Using Artificial Neural Network (ANN)
Compressive strength of concrete has been anticipated utilizing evolutionary artificial neural networks (EANNs) as a mix of artificial neural network (ANN) and developmental pursuit methods, like genetic algorithms (GA).
Predicting Whether The Claimant Will Hire An Attorney
In this project we have to keep few important points highlighted as gathering and understanding all facts of our case, ascertain our legal issue and our desired outcome, studying complete knowledge about the law.
Program Advisors / Faculties
Prof. Sanjeev Manhas
Principal InvestigatorE&ICT Academy,
IIT Roorkee
Prof. Partha Pratim Roy
Expert from AcademiaDepartment of CSE,
IIT Roorkee
Prof. Debi Prosad Dogra
Expert from AcademiaIIT Bhubaneswar
Kaushlendra Sisodia
Industry Expert/Program AdvisorDirector at Uniconverge Technologies
IIT Kanpur Alumnus
Mr. Sanjay Aggarwal
Data Science With ML ExpertIMS BHU Alumni
The IoT Academy
Our Alumni Work At
Career Services
Interviews With Top Companies
Get access to interview experience upon successful submission of projects. Get interviewed by our 400 + hiring partners.
Exclusive Access To Placements
In collaboration with the DS & ML certification course, get access to multiple placement options. Qualified support on job search for career growth.
Mock Interview Guidance
Students will get access to multiple mock interview guidance conducted by the industry experts along with the feedback for improvement.
1-On-1 Mentoring Sessions
Participate in one-on-one live sessions on how to nurture industry skills and attitude for securing a dream job.
Industry Oriented Sessions
With interactive live sessions along with an industry expert guidance iot, online training is full of guided sessions to skill-up the attitude of the students.
Resume & LinkedIn Profile
Get assistance in curating the best resume/LinkedIn profile to garner the attention of the recruiters and stand a chance to grab a lifetime opportunity.
Reviews & Testimonials
The course is great: it begins with fundamentals such as Python programming and progresses to more advanced topics. I had no prior understanding of Machine Learning, but after taking the course, I can confidently state that I am well-versed in the field.
Saumya Singh
The opportunities offered by this course are unlimited and I am eager to see the great impact it's going to make in Africa. I strongly encourage everyone to join this program as it is going to push the tech industry even further.
Jude Etornam
Grab the opportunity: If you commit to this course, whether it's for upskilling or for a better opportunity, the lessons you shall learn will last a lifetime and, the internship impressed me the most. This has helped me to crack my dream for which I am grateful.
Tanu Chinwan
This is an opportunity I believe everyone should grab hold of. It is a fact that the IoT Academy has produced students who are doing amazing work in their various fields of study. Not only does this course offer you invaluable skills, but it also opens doors to a wide range of opportunities to choose and I believe it is going to make a positive impact here in Africa.
Mawuli Tettey
The Way of teaching is up to the mark: The content is engaging and well-organized. The animation in the lectures is beneficial. The course notes are excellent as well. How things are explained is excellent. The instructor is simply outstanding in every way.
Vaishali Singh
Perfect course to take for tech enthusiasts. Course materials are self-explanatory and even in case you're in need of help, the support team is readily available to you. Seize this opportunity to upgrade yourself from beginner to advanced.
Peter Amexo
Perfect from every point: Overall, the course is a great investment. IoT Academy's instructors are well-versed in the field. The support crew was available 24 hours a day, 7 days a week, and I received aid and assistance whenever I needed it. It was a nice experience.
Prakhar Maheshwari
Program Fee
- Certification of completion from India's top Institute.
- Lectures from India's top Institute faculty.
- Hands-on sessions by industry experts
- Expert talks from industries
- Internship opportunity with industry partner
- Career guidance sessions from the experts and mentors
- Soft skills and pedagogy sessions
- Access to learning material and video lectures
Financial Partners
Certification Program in
Applied Data Science & Machine Learning with Python
Fee:Certification from
Admission Process
The admission process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates upon payment of the admission fee.
- You can fill up our query form and one of our representatives will answer you soon.
- Our Admission Council will review your profile, and if shortlisted, a confirmation e-mail will be sent to you.
- Reserve your seat with an amount of $250 to enrol in this program. Start with your Prep course and start your Data Science and Machine Learning venture!
Upcoming Application Deadline
Our admissions close once the requisite number of participants enroll for the upcoming batch. Apply early to secure your seats.
Application Deadline: 18th June 2022
Recommended Courses/Related Programs
EICT Academy, IIT Guwahati
EICT Academy, IIT Roorkee
EICT Academy, IIT Guwahati
FAQs
FAQs for Applied Data Science & Machine Learning with Python
Who all can learn data science?
Any individual who has the energy to work with Programs and has sound information on Statistics and Mathematics is eligible for this course.
- Designed for Students/ Working Professionals.
- Self-starters wanting to gain a foothold in the field of data science.
- Career transformers with essential work experience, wishing to switch tracks into data science.
- Ideal for both Working and Fresh Graduates.
What is Data Science? Who are Data Scientists?
Data Science: It is a process of asking questions and then answering those questions using data that uses scientific methods, algorithms, processes, and systems to extract insights from all sorts of data.
Data Scientists: A Data Scientist is an expert liable for gathering, dissecting, and deciphering very a lot of information. The Data Scientist job is a branch of a few conventional specialized jobs, including mathematician, researcher, analyst, and PC proficient. This work requires the utilization of cutting-edge examination innovations, including Algorithm and prescient displaying.
Why Data Science is considered the most popular career choice?
It is another field of study and has less competition; accordingly, there are a lot of open positions in data science. In every division of industry, there is a lack of data science specialists. Not simply this, specialists who come from various fields would not really like to fill the shoe of a data researcher.
It has found from various exploration considers that organizations are in the pursuit of asset and bookkeeping workers who have the limit of mining and eliminating information, extraordinary at data investigation and measurable demonstrating and besides appropriate in perceiving critical data patterns. Notwithstanding, appallingly by far most of the money and bookkeeping agents don't have these characteristics as the majority of individuals are not able to learn data science. That is the reason competition is less in this field and making it simpler to get a new line of work offered that the compensation of these kinds of business is typically correct.
How is data science as a career?
Data Science is perhaps the best vocation on the planet at this moment and almost certainly why such countless individuals are seeking after it. As a result of Big information and AI, the interest for Data researchers and data science abilities is expanding dramatically. Andrew Flowers, a financial expert at Indeed and the creator of Indeed report, said, "the work of an information researcher has just become hotter. Organizations realize that data is the answer to every one of their issues. With regards to contriving promoting plans or improving item requests, it is the careful examination that you will do as a data researcher does that acts the hero. All organizations, from as large as Heineken to little sprouting firms, have yielded to the possibilities it offers to help their development. Data science is a maturing field, and there is a ton of work for you to do. Your job in information science in handling rivalry is under-evaluated, and organizations will give you however much cash that you can request in a field as new as this.
What are the major roles & responsibilities of Data Scientists?
A data scientist is a person who is liable for finding designs and inference data from immense measures of organized just as unstructured information, to meet the business objectives and necessities.
Data Scientist Roles & Responsibilities:
- Fetching data that is relevant to the business from among the huge amount of data that is available in the form of Structured as well as Unstructured Data.
- Organize and analyses the data that is extracted from the piles of data.
- Creation of Machine Learning techniques, programs, and tools in order to make sense of the data.
- Perform statistical analysis for relevant data and predict future outcomes from it.
How much salary is offered to Professional Data Scientists in India and the USA?
INDIA
India is the second-most noteworthy nation to enlist workers in the field of data science or information investigation, and so forth with 50,000 positions accessible – second just to the United States. The interest for data specialists is similarly serious, regardless of whether you take a gander at the huge organizations, the online business industry, or even new companies. In this manner, on the off chance that you have the necessary range of abilities and are prepared to keep yourself refreshed, your profession as a Data Scientist is required to continue to develop onwards and upwards. This line stands genuine particularly when we think about that as an information researcher's compensation in India is straightforwardly or by implication subject to how upskilled and refreshed, they are. The normal data scientist compensation is ₹698,412. Entry-level data science professional can acquire around ₹500,000 per annum with short of what one year of involvement. Early level data science professionals with 1 to 4 years of involvement gets around ₹610,811 per annum.
USA
Entry-level data science professional salary: In spite of a new convergence of early-vocation experts, the middle beginning compensation for data scientists stays high at $95,000. Mid-level data science professional salary: The middle compensation for a mid-level data scientist is $130,000. In the event that this data science professional is additionally in an administrative job, the middle compensation ascends to $195,000. Experienced data science professional compensation:The middle compensation for experienced information science experts is $165,000—while the middle compensation for experienced supervisor level experts is impressively higher at $250,000.Why python is the most popular language to learn data science in the IT sector?
- Python is a multi paradigm programming language.
- The inherent simplicity and readability of Python as a programming language makes it a language that is preferred by data scientists.
- The vast Python community is another big advantage that Python has over other programming languages.
I previously completed an online course & internship, how this training cum internship program will assist me in my career?
The online course has limited advantages and it can never replace an expert as an instructor. A dedicated instructor can know your weaknesses and strengths and groom you accordingly by having continuous interaction and evaluation.This program is placement and career-oriented and definitely will help to build your bright career.
I have my classes running. How can I manage this training?
We will be running two batches in parallel on weekdays and weekends. You can choose whichever suits you the best.
There are various courses offered online with certification and a few of them have tied up with foreign institutions. Which among them should I choose?
The model of choice ought to be with the best learning. When a meeting your insight will move your vocation. Kindly note, that subsequent to finding a new line of work, everything challenges don't get over. After the work, there are new difficulties that can be made do with information and the correct demeanour.So, pick the course that can present to you the nearest to the corporates.
Is there any alternative way of managing classes if I will not be able to attend classes due to college exams, or some emergency?
We have a possibility for recording the meetings. So, you can allude to recorded meetings and PPTs for the missed meetings. As we referenced before, we will be running two groups in equal on workdays and ends of the week. You can likewise go to the next clump for missing class.
What additional benefits, I will receive?
- Internship Opportunity.
- Effective CV preparation.
- Communication skills enhancement guidance.
- Preparation for Mock Interviews.
- Behavioural guidance for corporate life.
If I have interest in some special project topic, will I get mentor’s support? It depends. However long the undertaking is inside the extent of the course subjects our tutors will uphold you in controlling you for usage.
In any case, if the point is totally different, they may make an honest effort to help by giving some undeniable level information sources.
How is this program very different from other online courses?
The Program will be conveyed in intuitive computerized design, holding adequacy while looking after well-being. The arrangement particularly consolidates the advantages of an in-class program with the adaptability and security of online conveyance.
| Benefits of In-Class Delivery | Flexibility and additional value of online |
| Coordinated program conveyance by master workforce | Re-go to classes through recorded files |
| Cooperate and get your questions replied to by personnel | Access recordings effectively with accessible and filed video files |
| Work in gathering with different members | You can learn from your home with safety and your comfort zone |
| Get uphold from mentor for labs and analyses | One to one support during office hours |
What software and versions will I need in this program?
To effectively finish this Nanodegree program, you'll should have the option to download and run Python's most recent variant.
