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Applied Data Science with Python in
collaboration with IBM

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Industry Experts From

Universally Recognized Certificates

From IBM and DataTrained

Capstone and Real Life Projects

Access to 15 real life projects and a capstone project

Analytics Jobs Placement Assistance

Access to analyticsjobs.in curated jobs

Access to in-demand Tools

IBM Watson labs and $1200 equivalent Cloud Credits

₹9,999 ($175)

for self-paced

₹14,999 ($250)

for self-paced and live sessions blended mode
Enroll Now

About the Program

  • Python for Data Science

  • Data Analysis with Python by DataTrained

  • Data Visualization with Python by DataTrained

Download Syllabus

Prerequisite

This course is for complete beginners and doesn’t need any pre-requisites or programming knowledge or experience.

1. Tell me something about this program?
IBM is an American multinational information technology company headquartered in Armonk, New York, with operations in over 170 countries. IBM is one of the world's largest employers, with over 350,000 employees, known as "IBMers". At least 70% of IBMers are based outside the United States, and the country with the largest number of IBMers is India. IBM employees have been awarded five Nobel Prizes, six Turing Awards, ten National Medals of Technology (USA) and five National Medals of Science (USA).

This collaboration between IBM and DataTrained provides our students hands-on experience in predictive analytics and advanced computing.

Expectations for this program co-developed with IBM:

1. Industry-recognized certificate from IBM and DataTrained.
2. IBM Cloud Credits for 6 months equivalent to $1200.
3. IBM Cloud Platforms access like IBM Watson for hands-on practice.
This Applied Data Science with Python Program aims to discover ways to make use of the Python language to scrub clean, analyze as well as visualize data. Through our guided lectures & labs, you will get hands-on experience tackling fascinating data issues and exploring data stories. This's an action-packed learning path for data science enthusiasts who wish to work with real-life problems with Python. Be sure to take this particular learning road to solidify your data abilities within Python, prior to diving directly into machine learning, deep learning and big data in Python.
This course is for complete beginners and doesn’t need any pre-requisites or programming knowledge or experience.

Programming Languages and Tools Covered

Instructors

Learn from India’s leading Software Engineering faculty and Industry leaders
Dr. Deepika Sharma
Training Head, DataTrained
Research Scientist with a PhD in computer science and 10+ years of hands-on experience.
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
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 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.

Learning Path

1
Python for Data Science

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!

Course Content

Module 1 - Python Basics
· Your first program
· Types
· Expressions and Variables
· String Operations

Module 2 - Python Data Structures
· Lists and Tuples
· Sets
· Dictionaries

Module 3 - Python Programming Fundamentals
· Conditions and Branching
· Loops
· Functions
· Objects and Classes

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
Data Analysis with Python by DataTrained

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.

Course Content

Module 1 - Importing Datasets
· Understanding the Dataset
· Python package for data science
· Importing and Exporting Data in Python
· Basic Insights from Datasets

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 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 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,
2
3
Data Visualization with Python by Data Trained

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!

Course Content

Module 1 - Python Basics
· Your first program
· Types
· Expressions and Variables
· String Operations

Module 2 - Python Data Structures
· Lists and Tuples
· Sets
· Dictionaries

Module 3 - Python Programming Fundamentals
· Conditions and Branching
· Loops
· Functions
· Objects and Classes

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
Applied Machine Learning with Python

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!

Course Content
Module 1 -Supervised vs Unsupervised Learning
  • Machine Learning vs Statistical Modelling
  • Supervised vs Unsupervised Learning
  • Supervised Learning Classification
  • Unsupervised Learning


Module 2 -Supervised Learning I
  • K-Nearest Neighbors
  • Decision Trees
  • Random Forests
  • Reliability of Random Forests
  • Advantages & Disadvantages of Decision Trees


Module 3 - Supervised Learning II
  • Regression Algorithms
  • Model Evaluation
  • Model Evaluation: Overfitting & Underfitting
  • Understanding Different Evaluation Models


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


Module 5 - Dimensionality Reduction & Collaborative Filtering
  • Dimensionality Reduction: Feature Extraction & Selection
  • Collaborative Filtering & Its Challenges
4

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

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 journey!

Program Fee

No Cost EMI options are also available. *

What's Included in the Price

Features/Benefits
  • Industry recognized certificate from IBM
  • Access to 15 real life projects and a capstone project
  • IBM Watson labs and $1200 equivalent Cloud Credits

I’m interested in this program

By clicking Start Application, you agree to our terms and conditions and our privacy policy.

Career Impact

Over 500 Careers Transformed
Aruni Khare

Data Scientist, RBS

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.

Rakshit Jain

Data Scientist, Optum

I saw an ad from DataTrained on facebook and I contacted them straight away and inquired 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.

Rupam Kumar Chaurasia

Head Sales, Glenmark

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.

Vanshika Rathi

Data Analyst, Ola

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.

Surbhi Jain

Sr. Data Specialist, Bank of America

I did my research before deciding which course I should register myself for and of all the courses that I have found, the one offered by DataTrained was completely dedicated to analytics, after enrolling for Postgraduate Program for Data Science, I realized DataTrained Data Science course was ideal for me.

Saurabh Chauhan

Data Analyst, KPMG India

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.

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Frequently Ask Questions

Will I get a certificate for this training?
Yes, you will get a certificate from DataTrained for the course completion as well as a project completion certificate from DataTrained.
There are two types of projects:

a. Practice projects: Your mentor will first do 2-3 projects for you and then you will do the next 3-4 projects wherein you will get help from your mentor and on tickets.

b. Evaluation projects: Once you’re done with the practice projects, you get access to the evaluation projects.
Data Science doesn’t need any previous technical or programming experience. We will teach you Math, Stats and programming at a very beginner level.
No, the program is designed in such a way that, you can continue with your job along with this program. It will be a mix of pre-recorded videos, live classes as well as printed study material. Every topic would be project-based and will be taught as per the live market scenario. The course module will be covered under the guidance of Industry Experts.
There are two training modes:

a. Self-paced: You will get access to DataTrained and IBM joint LMS wherein you will be assigned courses and projects. You will need to go through these courses and complete the projects at your own pace. Mentor support will be provided.

b. Blended: You will get access to DataTrained and IBM joint LMS wherein you will be assigned courses and projects. You will need to go through these courses and complete the projects at your own pace. In addition to these courses, live online classes are conducted on Saturdays and Sundays for you. Mentor support will be provided.
In case you miss a class, you need not to worry. All the live classes’ recordings will be available on your LMS. You can watch and practice the concepts at your own time.
We have partnered with analyticsjobs.in for the placement assistance for our learners who successfully completes our programs. Analytics Jobs is a leading media and job portal company specifically aimed for the jobs in Data Science, Analytics, Automation, RPA, Cloud, Block Chain and computer science.
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