Python for Data Science Course

Hands-on learning to gain in-demand Python and Data Science skills

  • 32 hours of live and interactive training
  • Real-world projects, hands-on exercises, assessments and quizzes
  • Master Python libraries to visualize data
  • Learn to handle complex datasets and extract actionable insights
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WHY LEARN PYTHON FOR DATA SCIENCE?

Python tops the charts as one of the fastest growing programming languages. The huge demand for Data Scientists with Python skills is consequently rapidly growing.  


Commanding an average salary of $122,338 per year, Data Scientists are much sought after across several industries. By the end of the hands-on Python for Data Science course, you will have acquired the skills to apply the many functions and libraries in Python to analyze, extract, manipulate and visualize data—skills that are much valued across industries. 

  • Command a high salary; data scientists earn an average of $122,338 per year  
  • Enhance your job prospects and land lucrative roles in top companies 
  • Become a valued asset at organizations with fluency in Python 
  • Easily build minimum viable products (MVPs) and prototypes  
  • Reduce code and empower developers to become more productive  
  • Ease of integration with several other applications 

WHAT YOU’LL LEARN IN THE PYTHON FOR DATA SCIENCE TRAINING

1. Python fundamentals

Understand Python language fundamentals, including basic syntax, variables, and types

2. Data Structures

Learn different data structures. Create and manipulate regular Python lists, tuple and more

3. Conditional Statements

Learn about using control, loops statements and other conditional statements

4. Object-Oriented Programming

User defined function, object-oriented writing of classes/objects, use functions, import packages

5. Analyzing Data

Learn to use Pandas to manipulate and analyse datasets to extract actionable insights 

6. Data Visualization

Use various Python libraries to visualize data. Create and customize plots on real data.

Prerequisites
There are no prerequisites Foundational programming knowledge is beneficial

Who should attend the Python for Data Science training?

Freshers
Novices who want to master advanced features
Software or Data Science Engineers

ZEOLEARN EXPERIENCE

LEARN BY DOING

Immersive hands-on training: hands-on exercises, group discussions, assignments, intensive QnA. 

LIVE AND INTERACTIVE

Ask questions, get clarifications, and engage in discussions with instructors and other participants. 

MENTORED BY INDUSTRY EXPERTS

Get mentored by industry practitioners with more than 10 years of experience on average. 

REASON-BASED LEARNING

Don’t gain just theoretical or practical knowledge. Understand the What, Why, and How of a subject. 

CODE REVIEW BY PROFESSIONALS

Get reviews and timely feedback on your assignments and projects from professional developers. 

BUILD PROJECTS

We emphasize on learning the concepts through examples and help you build a portfolio of projects. 

LIFETIME ENROLMENT

Free lifetime enrolment into any of the upcoming batches to help you refresh the concepts. 

CURRICULUM BY EXPERTS

Designed with care by industry experts to ensure the latest trends are captured in the curriculum.  

REMOTE LEARNING

Leverage interactive sessions and immersive learning platform to enhance your skills remotely.

PYTHON FOR DATA SCIENCE COURSE CURRICULUM 

Learn basics of Python, the basic data types, strings, and regular expressions.  

Topics Covered:  

  • Installing Anaconda  
  • Data Types and Variables  

Learn String and Regular Expressions to make sense of unstructured text. 

Topics Covered:  

  • String Operations  
  • Regular Expressions  
  • Regular Expression Methods 

Learn about the Data structures that are commonly used in Python.  

Topics Covered:  

  • Arrays  
  • Lists  
  • Tuples  
  • Dictionaries  
  • Sets  

Learn about the different types of loops and control statements in Python.  

Topics Covered:  

  • For Loop  
  • While Loop  
  • Break Statement  
  • Next Statements  
  • Repeat Statement

Write defined functions in Python,  learn about the Lambda function and the object-oriented way of writing classes and objects.  

Topics Covered:  

  • Writing functions (UDF)  
  • Calling Python Functions                   
  • Functions with Arguments  
  • Calling Python Functions by passing Arguments  

Learn OOPs to code easily and efficiently, and to construct classes and define objects.  

Topics Covered:  

  • Python Classes  
  • Initializers  
  • Instance Methods  
  • Properties  
  • Class Methods and Data  
  • Static Methods  
  • Private Methods and Inheritance  
  • Module Aliases 

Learn how to import datasets into Python and write output into files from Python.  

Topics Covered:  

  • Reading files using Pandas library  
  • Writing files from Python  
  • Reading various other Python file types

Learn how to transform raw data using Pandas library and generate insights from your data.  

Topics Covered:  

  • Clean and Prepare Datasets  
  • Data Transformations  
  • Encoding

Use a variety of measurements to better understand your data and identify patterns. 

Topics Covered:  

  • Summarize Data  
  • Statistical analysis of Data  
  • Data Exploration for insights  
  • Quality Analysis  

Master the various tools used in Python for Data Visualization. 

Topics Covered:  

  • matplotlib  
  • Seaborn 
  • Ggplot

Learn to understand missing value treatment methods.  

Topics Covered:  

  • Checking missing values  
  • Visualize data after analysing  
  • Methods to impute missing values  

Use the opportunity to work on fun projects during the program followed by two production-grade capstone projects at the end. Each project is based on real-world scenarios and carried-out under the guidance of industry experts. You will go about it the same way you would execute a project in the real business world.  

WHY CORPORATES COUNT ON ZEOLEARN TO SKILL UP THEIR TEAMS 

Zeolearn is on a mission to help organizations transform their workforce and prepare for the future of work. We aim to enable our clients to build self-organizing and high-performing teams through world-class workshops, while building in-house leadership, talent, culture, and sustainable multiple practices and capabilities with the help of our Training, Coaching and Consulting engagements.  

  • Global presence in well over 60 countries  
  • Consultants, trainers, coaches with experience across multiple domains: BFSI, Telecom, Retail, Automobiles, E-Commerce, more  
  • One-Stop Learning Partner offering a wide range of 250+ courses  
  • Accelerating digital talent transformation and enabling future ready tech talent 
  • Multilingual trainers at nearest shore local base locations for ease of reach and coordination 
  • Complete learning eco-system with pre and post-course preparation and support materials, e-learning, video archives, question banks, and many other learning aids  
  • Multimodal delivery system including Classroom, Live Virtual Classroom (LVC), E-Learning, Customized Blended Learning, In-House LMS, more  
  • Consulting, Coaching and Staffing services going beyond training and certification to support complete transformation
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FAQs on Python for Data Science Course Training

Python for Data Science Training

The Python for Data Science course is designed to help you become a skilled Data Scientist and bag attractive roles in top tech companies. This course will enable you to:  

  • Create user-defined functions in Anaconda  
  • Draw out useful insights  
  • Use Python libraries like Matplotlib and Seaborn  
  • Use Pandas to manipulate and analyse complex datasets  
  • Build NumPy arrays and perform interesting calculations  
  • Create and customize plots based on real data. 

Through the Python for Data Science course, you’ll learn all the fundamentals of Python and be able to implement Python for data research and analysis.   

Python programmers are highly in demand. By the end of this course, you’ll have job-ready skills to showcase through real-world projects. 

Yes, you’ll be able to take up the Python for Data Science course even as a novice. This program covers topics from the fundamental to advanced levels.  

Yes, our Python for Data Science course offers enough flexibility to learn according to your convenience. We have hands-on exercises, real-world case studies, live projects and more to help professionals gain practical skills. 

Apart from training hours, you should spend around two hours every day to study and practice to achieve the best results from the course.   

There are no prerequisites to attend this course. Possessing elementary programming knowledge will be beneficial to take maximum advantage of the course. 

Hardware requirements  

  • Windows 8 / Windows 10 OS, MAC OS >=10, Ubuntu >= 16 or latest version of other popular Linux flavours  
  • 4 GB RAM  
  • 10 GB of free space  

Software Requirements  

  • A web browser such as Google Chrome, Microsoft Edge, or Firefox  

System Requirements  

  • 32 or 64-bit Operating System  
  • 8 GB of RAM  

On completing this course, you’ll get a certificate of completion along with all the necessary skills that would help you pursue a rewarding career in Data Science.  

Python for Data Science Workshop Experience

The Python for Data Science workshop at Zeolearn is delivered through a learning experience platform, using live and interactive instructor-led training sessions.  

You’ll be able to listen, learn, ask questions, and get all your doubts clarified from your instructor.

This course is delivered industry-recognized experts with over 10 years of experience in Data Science and Python. The instructors will not only impart conceptual knowledge but end-to-end mentorship too, with hands-on guidance on the real-world projects.  

Our class time is dedicated to fun hands-on exercises, lively discussions, case studies and team collaboration, all facilitated by an instructor with industry expertise. This structure helps us deliver an applied learning experience. This structure has worked well with thousands of engineers, whom we have helped upskill, over the years.  

All our Python for Data Science workshops are currently held online. So, anyone with a fast internet connection can attend from anywhere across the world.  

Schedules for our upcoming workshops in Python for Data Science can be found here.   

We use the Zoom platform for video conferencing. All the sessions and recordings will be available right from within our learning platform. Learners will not be required to install any additional software.   

Yes, there will other participants in the class who will participate in the class.  

If you miss a class, you can access the class recordings from our online learning platform at any time. At the start of every session, there will be a 10–12-minute recapitulation of the previous class.   

You can send us an email at support@zeolearn.com and we will get back to you.  

Finance-related Queries

Yes, with our 100% Satisfaction Guarantee policy, you are assured of the highest standards of quality. If for some reason your expectations are not met, we will refund the course fee in accordance with our 100% Satisfaction Guarantee policy.   

Yes, you can change the start date to your Python for Data Science training, with a prior notice of at least 24 hours and subject to availability in the desired batch.  

Yes, we have a 100% money-back guarantee in line with our 100% Satisfaction Guarantee policy.  

Yes, scholarships are available for students and veterans with grants up to 50% of the course fees.  

To avail scholarships for our Python for Data Science course, please get in touch with us at support@zeolearn.com. The team shall send across the forms and instructions to you. Based upon the responses and answers that we receive, our panel of experts take a decision on the Grant. The entire process could take about 7 to 15 days.  

Yes, instalment options are available for payment of course fee. To avail the instalment option, please get in touch with us at support@zeolearn.com. The team will explain how the instalments work and provide timelines for your case.  

Usually, the number of instalments vary from 2 to 3, but the full amount must be paid before you complete the course. 

Have More Questions?

Mail Us support@zeolearn.com