• How to reach you in case of any queries

    Mail us at info@acadepro.co.in or call at 9810857770/9311659907

  • Does this course help us in getting job ?

    Yes, the course is designed for the need of the industry and assignments and capstone project gives ample hands-on which is essential for getting a job

  • Does Acadepro help us in placement ?

    Yes, Acadepro sends your resumes to its partners and aids in your placement

  • How much of this course is Instructor Led ?

    100%, all the sessions in this course are conducted by the instructor live

  • How is this course better than the free courses available online ?

    The online courses are video based and do not give you a chance to ask queries. They do not offer personalized attention which is needed for proper understanding of learners. This course gives LIVE interaction with an instructor, offers doubt clearing and guidance in practical work.

Course Overview

This course is designed by Industry experts in consultation with Academia to make our Learners Industry-ready by learning the nitty-gritty of Python to rapidly modify/ analyse the data into desired shape.

  • 8- Weeks Course runs for approx. 45 Hours( 14 sessions + 2 special sessions + 6 review classes + e-certification ceremony)

  • Instructor-Led Live Online Sessions with Personalised Attention & Progress Tracking

  • Placement Assistance

  • Industry Readiness with Real Life Assignments & Assessments and Weekly Review sessions for doubt clarifications. It includes individual assignments and a team Capstone project assignment, following software development guidelines.

  • The course starts with building the fundamentals – revision of basics, writing meaningful comments, declaring constants, datatypes, using quotes etc.

  • Covers advance topics like Operators, Expressions & Control-flow, Writing functions, Building own libraries, In-depth study of built-in data structures, Object- oriented programming, Error handling, File handling, Logging messages, Passing of data around, and basic of using GUI.

  • The specially designed sessions cover how to make use of built-in data-types, data-structures and built-in functions and practice the same with extensive programming assignments and project work to gain knowledge of handling any type of datasets for analysis using Python.

  • Hands-on skill in Python programming is a strong pillar in adopting future technologies, like Data Analytics, Machine Learning and Artificial Intelligence.

  • Two renowned speakers from Industry and Academia will guide on being successful in interviews

  • The course fee is INR 12950 (incl. 18% GST) to be paid in full before the last date of registration.

Course Prerequisites

The course requires learners to have

  • Anaconda3 (with Python 3.8) on your laptop/desktop

  • Programming Knowledge in any one language (C, C#, Java, Perl or any other). This means it is required to have knowledge of environment variables, using command line arguments within programs and significance of stdin, stdout and stderr etc.

  • For experienced programmers (in any language), this course will highlight basic differences in using Python, so that you can start using Python in shortest possible time.

  • For a new programmer, this course will give you introduction to Python to get you started. But you will have to build up programming skills on you own.

  • Basic concepts of programming using data structures, database, OS APIs etc will be helpful.

  • Should be able to resolve compilation errors, syntax errors etc.

Course Objectives

Following are the key objectives of this course:

  • To introduce learners to the concepts and techniques of Advanced Python Programming.

  • To impart experience of doing independent problem solving and developing logic, including program control-flow and defining your own functions.

  • To develop skills of using Python for solving practical problems.

Platform and Tools

The technology used enables interactive and practical sessions.

  • Live Instructor Led sessions are conducted using ZOOM Communication and Collaboration Platform. Learners will need to attend the live sessions from their laptops through ZOOM

  • Assessments will be conducted Online, Course PDFs and Class Video Recording will be made available on Thinkific Platform - Acadepro's Learning Management System.

  • Hands-On Assignments would be done by learners on their own laptops on Anaconda3 platform using Spyder (Python 3.8). Instructions to install and use the platform would be provided upon registration.

Registration closed for 16th Feb 2021 Batch

Register for upcoming batch !

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Course Outcomes

The training curriculum is designed for following outcomes. The learners will have an understanding of:

  • A brief overview of Data Science & related roles

  • Using Spyder (Python 3.8) as development platform.

  • Develop programming logic to solve industry-like problems.

  • Hands-On with File handling, Error handling, Object Oriented programming and how to adopt software development process in your project work.

  • Multiple practical assignments using Python

  • Develop a Capstone project to process large datafiles, which will be tested on real-life data. You will be required to fix all bugs that are reported in your project.

  • This course shall form the basis to move forward to next step towards Data Analytics

  • Note: It is expected that Learners will attend all sessions and will participate in Assessments & assignments. Acadepro will also share References to articles for self-study.


Anu Bajpai

Anu is a Business & Data Analyst and CRM Expert with a rich experience of 27+ years in the Industry and Academies.  She has completed her BE (Computer Technology) from PICT, Pune University in the year 1989.

A Guest faculty at MACT  Bhopal, Guest speaker at Amity University Noida, ITS Ghaziabad, Honorary faculty for more than 10 years at NAREDCO Delhi.

Worked & delivered software projects in various capacities in for customers like: NEC Japan, NEC America, RAD Israel, BOSCH Germany, HNI to develop NMS Console for ICO Satellite Communication Systems UK, Parsec Inc  USA, Hughes Software Systems India, NTT-UniSQL Japan, HCL Technologies, Siemens Information System Ltd. Delhi etc.

Worked as Data Scientist for Voter Records for Election Commissioner, Delhi and Merck Pharma, India and as Business Analyst for Escotel Mobile operator.

Special Guest Speakers

The unique feature of this course is two guest speakers from the Industry and Academia respectively bringing relevant experience to add value to the learning of participants

Co-founder and Mentor at Gradient Learning, Ex-Sr. Director of Engineering at Adobe Systems

Mukul .

Mukul has extensive IT-Industry experience of 34+ years incl. 5 yrs. In USA. He has worked in different roles in various organisations - River Run, Motorola, Adobe, India. He with his team played a pivotal role in transition – when Adobe moved from desktop to web, from perpetual to subscription licensing, from local to cloud. He has also setup the Data Sciences and Analytics practice for QA InfoTech. Mukul is author of a couple of computer science books, visiting faculty for computer science in colleges and he with his team patented 70+ ideas during 2010-2015. He is now enjoying his entrepreneurial journey in UI/UX space. Mukul’s expertise includes Software Product development, Internationalisation, Product licensing, Telecom applications, Wireless networks, Network Management, Real time control systems, TQM, program management using different methodologies like Agile, Waterfall, Iterative, etc.

Wipro Certified Faculty

Vivek Kumar

Mr. Vivek Kumar is Assistant Professor in College of Computing Sciences & Information Technology (CCSIT), Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India. He is pursuing Ph.D. degree in Computer Science from Dr. A. P. J. Abdul Kalam Technical University. The areas of research are Big Data, Data Mining and Natural Language Processing. He is proud to have one patent and various research papers in SCI and Scopus indexed journals. His areas of interest are Data Science, Machine Learning, Deep Learning, Augmented Reality and Virtual Reality (AR & VR).

Session Plan

Each session is 2 hrs Instructor-led Live Online Session . Timings will be notified before program commencement.

S No.
Course Overview
Introduction and Overview of the Course
Hello World!
Comments Literal Constants Numbers Strings Single, Double and Triple Quotes Immutable Strings Format() method Checking Output Index in Strings f-strings (Python 3.6 onwards) Newline, Escape Sequences Raw String handling Variables Identifier Naming Datatypes (numbers, strings, classes) Object PyCharm/Spyder Logical and Physical line of code Indentation
Arithmetic, bitwise, binary, logical, conditional Shortcut for math operations and assignments Evaluation order Changing Order and evaluation Associativity Expressions Control Flow (if, for, while) Break Continue
Assignment & Review Class
Functions Local variables within function Global variables Default argument values Keyword assignment VarArgs parameters Return statement DocStrings usage
create a new module of all sorting functions Byte compiled .pyc files from ... import statement Module Naming Making your own modules dir() packages
Assignment & Review Class
Data Structures
Lists Objects and Classes (in short) Tuple Dictionary Sequence Set References More about Strings
Iterative Software Development
Iterative Software Development
10 10/03/21 Review Assignment & Review
11 13/03/21 Object Oriented Programming Self classes methods __init__ method class and object variables
12 14/03/21 Input & Output input from User input from Files PICKLE handling Unicode
13 17/03/21
Review Assignment & Review Class
14 20/03/21 Exceptions & Errors
Errors Exceptions Handling Exceptions Raising Exception Try .. finally With statement
15 21/03/21
Standard Library Sys module logging module
16  24/03/21 Review
Assignment & Review Class
17  27/03/21 Advanced Data Handling
Passing tuples around Special Methods Single Statement blocks Lambda Forms list comprehension Receiving Tuples in functions Receiving Dictionaries in functions Assert statement Decorators Difference between Python 2 and Python 3
18  28/03/21 Project Scope & Additional Topics
Project, Example Code Creating your own websites Graphical Software Summary of some GUI tools Various Implementations like:   -- Jython  -- CPython  -- Iron Python  -- PyPy  -- CLPython
19 31/03/21 Review
Assignment & Review Class
20  03/04/21 What's Next !
Walk Thru PANDA Module Intro to Data Analytics
21  04/04/21 Problem Formulation & Logic Building
Modeling real scenarios into mathematical equation & programming logic
22  07/04/21 Preparing for the Interview
Interviewing Skills ; RIght Questions & Focus on Conceptual
23  10/04/21 e-Certification Ceremony
Results Declaration & Certification

Note : A WhatsApp Group will be created and ZOOM Call details shared before the session. Please note there might be some change in date/timings due to unforeseen circumstances. 

Learner Support to enable Industry readiness

Acadepro offers additional support during and post the course to help Learners to face Placement Interviews with greater confidence

  • Weekly Review

    Learners can get their queries resolved in the weekly review discussions during the course. Learners can also post their queries to the Instructor during and upto 3 months post the course.

  • Reference Material

    Learners will have access to the presentation pdfs and course videos used by the Instructor during the course and upto 9 months after the course. This will be available on Thinkific Platform - the Acadepro Learning Management System.

  • Certificate of Completion

    Learners will be awarded Certificate of Completion upon completing all the course requirements i.e. attending all sessions, assessments and assignments, quizzes and successful completion of Capstone project.

Assignments & Assessments

The ASSESSMENTS in Advanced Python Course test the knowledge and understanding of our Learners and ASSIGNMENTS offer practical application of concepts.

  • Pre and Post Course Assessment to ascertain the K-Gain( Knowledge Gain) of learners

  • Mid-Course Assessment to assess the progress

  • 15 Hours for solution design and implementation using Python including assignment discussion

Registration closed for 16th Feb 2021 Batch

Register for upcoming batch !

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