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Applied Data Science with Python
in collaboration with IBM

The Data Science with Python certification course provides a complete overview of Python's Data Analytics tools and techniques. Learning Python is a crucial skill for many Data Science roles. Acquiring knowledge in Python will be the key to unlock your career as a Data Scientist.

The Data Science with Python certification course provides a complete overview of Python's Data Analytics tools and techniques. Learning Python is a crucial skill for many Data Science roles. Acquiring knowledge in Python will be the key to unlock your career as a Data Scientist.

In Collaboration With
  • Silver
    Business
    Partner
  • IBM

19 Aug, 2022

Next Batch
starts on

5 Months

Recommended
20-22 hrs/week

6+ Projects

Real time industry based projects

Online

Learning
Format

6000+

Career
Transformed

400+

Hiring
Partners

Program Overview

The Python Data Science course teaches you to master the concepts of Python programming. Through this Data Science with Python certification training, you will learn Data Analysis, Machine Learning, Data Visualization, Web Scraping, & NLP. Upon course completion, you will master the essential tools of Data Science with Python.

Key Highlights

  • 68 hours of blended learning68 hours of blended learning
  • 4 industry-based projects4 industry-based projects
  • Interactive learningInteractive learning
  • Dedicated mentoring session from faculty of industry expertsDedicated mentoring session from faculty of industry experts

Applied Data Science with Python in collaboration with IBM

  1. $ 1,000
    10000+ learner
Features
  • 100+ hours of learning
  • Practice Test Included
  • Certificate of completion
  • Skill level

Languages and Tools covered

Applied Data Science with Python in collaboration with IBM

Get eligible for 3 world-class certifications thus adding that extra edge to your resume.

  • Alumni Status
  • Learning paths and certification from IBM
  • Course completion certificate from DataTrained Education
  • Project completion certificate from DataTrained Education

What’s the focus of this course?

Choose from specializations, receive industry mentorship, dedicated
career support, learn 14+ programming tools & languages & much more

Unique Specializations- data science programs near me

Uniquely Designed Curriculum

Starting from foundations of programming to building projects based real-time solutions. Get a globally recognized certification In Applied Data Science In Collaboration With IBM.

Dedicated Career Assistance- data science program institute

Dedicated Career Assistance

Receive 1:1 career counselling session & mock interviews with hiring managers. Exhilarate your career with our 400+ hiring partners.

Student Support -  data science online training

Student Support

Student support available 09 AM to 09 PM IST via email or use the call Back option on the Platform to get a response within 2 working hours.

Instructors

Learn from India’s leading Software Engineering faculty and Industry leaders

Dr. Deepika Sharma - Training Head, DataTrained

Dr. Deepika Sharma

Training Head, DataTrained

Research Scientist with a PhD in computer science and 14 years of hands-on experience.

Polong Lin - Business Analyst, IBM

Polong Lin

Business Analyst, IBM

Polong Lin is a Data Scientist at IBM in Canada. Under the Emerging Technologies division, Polong is responsible for educating the next generation of data scientists through BDU.

Jay Rajasekharan- Data Scientist, IBM

Jay Rajasekharan

Data Scientist, IBM

Currently, he is driving several productivity programs - using data analytics to drive insights from business operations and implementing optimizations such as streamlining workflows, improving service levels, and ultimately reducing cost.

Mahdi Noorian- Data Scientist, IBM
Mahdi Noorian
Data Scientist, IBM

Mahdi Noorian is a Postdoctoral Fellow at the Laboratory for Systems, Software and Semantics (LS3) of the Ryerson University. He holds a Ph.D degree in Computer Science from University of New Brunswick.

Applied Data Science with Python Course Syllabus

Best-in-class content by leading faculty and industry leaders in the form of cases, videos and projects, live sessions and assignments.

best data science courses online

Detailed Syllabus of Applied Data Science with Python Course

  • 100+ Hours of Content - data science program institute
  • 100+

    Hours of Content

  • 80+ Live Sessions - data science online training
  • 80+

    Live Sessions

  • 15 Tools and Software - best tools for data science
  • 15

    Tools and Software

Comprehensive Curriculum

The curriculum has been designed by faculty from IITs and Expert Industry Professionals.

100+ Hours of Content - data science program institute
100+

Hours of Content

80+ Live Sessions - data science online training
80+

Live Sessions

15 Tools and Software - best tools for data science
15

Tools and Software

This course offers a beginner-friendly launch to Python for Data Science. Practice through lab workouts, and you will be prepared to design your very first Python scripts on one's own!

Module 1 - Python Basics
  • Your first program
  • Types
  • Expressions and Variables
  • String Operations
Module 3 - Python Programming Fundamentals
  • Conditions and Branching
  • Loops
  • Functions
  • Objects and Classes
Module 2 - Python Data Structures
  • Lists and Tuples
  • Sets
  • Dictionaries
Module 4 - Working with Data in Python
  • Reading files with open
  • Writing files with open
  • Loading data with Pandas
  • Working with and Saving data with Pandas

With this program, you are going to learn the right way to evaluate data in Python using multidimensional arrays in NumPy, control DataFrames in pandas, make use of the SciPy library of mathematical actions, as well as conduct machine learning using scikit learn! You are going to learn the right way to do data analytics in Python making use of these popular Python libraries and you'll do it using hands-on labs using genuine Python tools as Jupyter notebook in JupyterLab.

Module 1 - Importing Datasets
  • Understanding the Dataset
  • Python package for data science
  • Importing and Exporting Data in Python
  • Basic Insights from Datasets
Module 3 – Pandas
  • Python Pandas - Introduction
  • Introduction to Data Structures
  • Python Pandas - Series
  • Python Pandas - DataFrame
  • Python Pandas – Indexing & Re-indexing Columns
  • Python Pandas - Sorting
  • Python Pandas - Aggregations
  • Python Pandas - Missing Data
  • Python Pandas - GroupBy
  • Python Pandas - Merging/Joining
  • Python Pandas - Concatenation
  • Python Pandas - Visualization
  • Python Pandas - Correlation
  • Python Pandas – Describe Function
Module 2 – NumPy
  • NumPy - Introduction
  • NumPy - Ndarray Object
  • NumPy - Data Types
  • NumPy – Shaping & Reshaping
  • NumPy – Random Numbers
  • NumPy - Indexing & Slicing
  • NumPy – Handling Missing Data
  • NumPy - Arithmetic Operations
  • NumPy - Statistical Functions (Min-Max Function) Sort, Search & Counting Functions
Module 4 – Descriptive & Inferential Statistics
  • Mean, Median, Mode
  • Range, Percentile, Variance,
  • standard deviation,
  • Probability distribution
  • Binomial distribution
  • Normal distribution
  • Poisson distribution
  • Normal curve
  • Bell curve
  • Skewness
  • zscore
  • Hypothesis Testing
  • p-value
  • Statistical Parametric Test
  • Covariance
  • Statistical correlations,

This course offers a beginner-friendly launch to Python for Data Science. Practice through lab workouts, and you will be prepared to design your very first Python scripts on one's own!

Module 1 - Python Basics
  • Your first program
  • Types
  • Expressions and Variables
  • String Operations
Module 3 - Python Programming Fundamentals
  • Conditions and Branching
  • Loops
  • Functions
  • Objects and Classes
Module 2 - Python Data Structures
  • Lists and Tuples
  • Sets
  • Dictionaries
Module 4 - Working with Data in Python
  • Reading files with open
  • Writing files with open
  • Loading data with Pandas
  • Working with and Saving data with Pandas

This Machine Learning with Python course dives into the basics of machine learning using an approachable, and well-known, programming language. You'll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each. Look at real-life examples of Machine learning and how it affects society in ways you may not have guessed!

Module 1 -Supervised vs Unsupervised Learning
  • Machine Learning vs Statistical Modelling
  • Supervised vs Unsupervised Learning
  • Supervised Learning Classification
  • Unsupervised Learning
Module 3 - Supervised Learning II
  • Regression Algorithms
  • Model Evaluation
  • Model Evaluation: Overfitting & Underfitting
  • Understanding Different Evaluation Models
Module 5 - Dimensionality Reduction & Collaborative Filtering
  • Dimensionality Reduction: Feature Extraction & Selection
  • Collaborative Filtering & Its Challenges
Module 2 -Supervised Learning I
  • K-Nearest Neighbors
  • Decision Trees
  • Random Forests
  • Reliability of Random Forests
  • Advantages & Disadvantages of Decision Trees
Module 4 - Unsupervised Learning
  • K-Means Clustering plus Advantages & Disadvantages
  • Hierarchical Clustering plus Advantages & Disadvantages
  • Measuring the Distances Between Clusters - Single Linkage
  • Clustering
  • Measuring the Distances Between Clusters - Algorithms for
  • Hierarchy Clustering
  • Density-Based Clustering

Career Impact

DataTrained in collaboration with IBM presents the best online Applied Data Science With Python in India. Over 500 Careers Transformed.

DataTrained has helped me with the vital knowledge and skills that are needed for a data scientist role. The trainer starts with an example to make us comprehend the concept and then help us build the Algorithms with the real industry datasets. DataTrained brings the power of online learning along with dedicated Mentorship, Counselling, Live Sessions and 6 months Internship.

Aruni Khare-- Data Scientist, RBS
Aruni Khare Data Scientist, RBS

I saw an ad from DataTrained on facebook and I contacted them straight away and enquired about their Data Science online course. Their counselor took me through the complete journey of what they offer and what is data science all about. After continuous conversation for a few weeks, I was pretty sure about the course and now I knew where I need to invest my money and hard work.

Rakshit Jain - Data Scientist, Optum
Rakshit Jain Data Scientist, Optum

The program is a well-balanced mix of pre-recorded classes, live sessions on weekends and printed reading materials they sent to my address. My mentor was Amit Kaushik and he helped me in getting that confidence and completing my assignments on time. I have almost completed the course and have been able to crack Glenmark interview. Thank you so much DataTrained.

Rupam Kumar Chaurasia - Head Sales, Glenmark
Rupam Kumar Chaurasia Head Sales, Glenmark

Once I Joined DataTrained my learning curve started to grow steeply and as per the mentors I followed the new approach to get Data Science job. If I am successfully placed with one of the biggest data science firm complete credit lies with DataTrained and their competent Faculty.

Vanshika Rathi - Data Analyst, Ola
Vanshika Rathi Data Analyst, Ola

All faculty members in DataTrained are well known and they are available round the clock to discuss any course related query. After completing my course I was so confident and cracked my first Interview with Amazon and I have completed a successful 1 year with them. Big thanks to DataTrained to help me in selecting a perfect job for me.

Saurabh Chauhan--Data Analyst, KPMG India
Saurabh Chauhan Data Analyst, KPMG India

Admission Process

There are 3 simple steps in the Admission Process which is detailed below

Step 1: Fill in a Query Form

Fill up the Query Form and one of our counselors will call you & understand your eligibility.

Step 2: Get Shortlisted & Receive a Call

Our Admissions Committee will review your profile. Upon qualifying, an Email will be sent to you confirming your admission to the Program.

Step 3: Block your Seat & Begin the Prep Course

Block your seat with a payment of INR 10,000 to enroll in the program. Begin with your Prep course and start your Data Science with python journey!

Applied Data Science With Python Course Fee

$ 1,000

No Cost EMI options are also available. *

best data science institute in india

I’m interested in this program

What's Included in the Price

Industry recognized certificate from IBM

Access to 15 real life projects and a capstone project

IBM Watson labs and $1200 equivalent Cloud Credits

For Queries and Suggestions

Call DataTrained Now
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Frequently Ask Questions

The Python Data science course offered by DataTrained teaches you the necessary skills to master the concept of Python programming for data science. Through our course you would learn Data Analysis, Machine Learning algorithms, Data Visualization , Natural Language Processing & Web Scraping.

To pursue a career in cloud computing a candidate must fulfill the required criteria before getting enrolled in the course. There are different requirements according to the different cloud computing courses.

Let’s have a look at qualifications required for the cloud computing course offered by DataTrained:-

  • Candidates should have completed class 12th with passing marks.
  • Candidates must have completed class 12th in the science stream or any other related field.
  • Candidates must be aware of some cloud computing topics and must have the necessary knowledge and interest in the cloud computing field.

Interested candidates can fill up an inquiry form on our course page and check their eligibility for cloud computing courses. DataTrained team will give you a callback on your registered number and will guide you through the eligibility process details.

DataTrained provides India’s 1st Cloud Computing Course. Our course is comparatively cheaper compared to others and is available at ₹ 45000 + GST.

Cloud computing courses are in high demand right now. Organizations need cloud experts to carry out various cloud computing tasks such as data management, migration, optimization, managing an integrated environment, maintaining databases, managing networks, etc.

DataTrained provides India’s 1st Cloud Computing Course. Our course is comparatively cheaper compared to others. It helps you master Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). It is a certification course that lets you become an expert in architecture principles of cloud computing and upskills you to become a cloud expert.

In our course, we cover various tools and languages for cloud computing. Let's have a look at them:-

  • MySQL
  • Microsoft .NET Framework
  • Ruby
  • PHP
  • SQL
  • Perl

A cloud computing aspirant must have completed class 12th with passing marks along with a graduation degree in computer science or IT or any other related field. So you need at least a graduation degree before being eligible for a formal cloud computing course. However, you can still start developing ideas and generating interest in the cloud by reading DataTrained cloud blogs and articles.

There are many cloud computing courses available on various platforms. But it is important what these courses are offering. Organizations need an individual with the right kind of skill sets to tackle a variety of issues in day-to-day functioning.

DataTrained provides the Best Cloud Computing Course available in India. With in-depth guidance and one-on-one mentoring from our experienced industry professionals and tutors, your cloud career will skyrocket. We at DataTrained have already transformed 6000+ careers.

Here are features of our cloud computing course:-

  • 6+ real-time industry-based projects
  • 100+ hours of learning
  • Practice test included
  • Get noticed by top hiring companies
  • 8X higher interaction in live classes
  • Online convocation
  • Physical certificate from DataTrained

Cloud career aspirants might be wondering whether coding is required for making a career in the cloud domain or not. Many platforms such as Amazon Web Services or AWS, Microsoft Azure and Google Cloud Platform, or GCP offer various cloud-based services which do not require coding.

It’s good to have coding skills but it’s not entirely necessary. However, having coding skills would be a plus point for you. As many cloud jobs require you to have coding skills to resolve issues.

Selecting a programming language can be very confusing as there are numerous languages used by cloud engineers for various different tasks. Let’s look at the top 5 languages for cloud computing:-

  • Python: Python is used in AI & ML projects with the help of libraries like Scikit learn, Pytorch, Keras, and TensorFlow according to a Google Cloud Platform Blog.
  • Ruby: This programming language is supported by several clouds hosting platforms like GCP, Heroku, etc.
  • Java: According to Github java was one of the most popular programming languages that are being used.
  • ASP .NET:Developed by Microsoft it is an easy-to-learn programming language. It is an open-sourced language, with the code available on GitHub.
  • Golang:It is developed by Google and is preferred while working on Google Cloud Platform and also used on other cloud platforms.

Cloud computing has quickly become a popular course throughout the world and especially in India. Owing to the pandemic many organizations instructed their employees to work from home or WFH. Working online means all the organization's data needs to be migrated to the cloud.

Due to such a demand cloud computing experts were required in large numbers to handle all the cloud data. As a result, cloud-related courses demand all rose by a significant number.

Although cloud computing courses are not everyone’s cup of tea, we at DataTrained have designed our Cloud computing course in such a way that everyone can learn it with ease.

Our industry experts and professionals teach everything from the very basic. Our tutors provide you with one-on-one guidance and mentoring. DataTrained teachers teach in an understandable and easy language and if you have any doubt you can raise queries for the same on our LMS system. We will resolve all your doubts within a short period of time.

According to a report by ‘Flexera’ migrating the workload on the cloud has been the most vital cloud initiative 70%. It is followed by optimization of the current cloud utilization to reduce the costs by 59% & forward a cloud-first strategy of 50%.

Therefore to carry out all these important tasks organizations need skilled cloud experts. Companies pay a handsome salary to such skilled professionals. Salary depends on the location as well as the company profile. Let’s analyze the salaries of cloud engineers based on different parameters according to the platform indeed.

The average base salary for a cloud engineer - ₹9,54,434 per year in India. This figure is based on 393 salaries reported and last updated on 4 January 2022.

Top Companies in India for cloud engineers:-

  • Ikya Human Capital Solutions Pvt Ltd - ₹12,53,632 per year
  • NET CONNECT - ₹9,83,157 per year
  • 2COMS Consulting Pvt Ltd - ₹5,14,006 per year

Top 5 cities in India for cloud engineers:-

  • Mumbai, Maharashtra - ₹11,79,009 per year (50 salaries reported)
  • Noida, Uttar Pradesh - ₹10,93,039 per year (41 salaries reported)
  • Chennai, Tamil Nadu - ₹10,79,755 per year (42 salaries reported)
  • Hyderabad, Telangana - ₹9,37,069 per year (56 salaries reported)
  • Bengaluru, Karnataka - ₹9,32,796 per year (113 salaries reported)
  • Yes, Python is used in cloud computing. In fact, this programming language has rapidly become popular among developers. They want to use it more than other languages to build data-intensive projects. It powers several complex applications on the cloud.

    Python is admired by developers largely because it allows speedy analysis and organization of data. Which makes it pretty efficient for streaming analytics apps made on the cloud.

    Within the cloud, deployment python has a great ability to be utilized in new fields, like in several data and IoT or internet of Things services powered by cloud infrastructure. According to a report on Statista web platform, AWS or Amazon Web Services was the most popular cloud services platform among python developers.

    Cloud computing courses vary according to the mode of class. A candidate can enroll in either an offline or online mode of classes. But in this time of the pandemic, we don't recommend the offline mode of classes.

    DataTrained provides you with online live classes for cloud computing courses which can be completed in a duration of 10 months. Our online live classes stream on Saturdays and Sundays so that even working professionals can access them without leaving their current job.

    Not only this, but if for some reason you are unable to attend classes on weekends, we provide you with pre-recorded classes that can be accessed at any time, anywhere with an internet connection. If you have any doubt you can raise queries on our LMS and our tutors will resolve all your questions within a short period of time.