Mail us at [email protected] or call at 9810857770/9311659907
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
Yes, Acadepro sends your resumes to its partners and aids in your placement
100%, all the sessions in this course are conducted by the instructor live
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.
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.
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.
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.
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.
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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.
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
Mukul .
Vivek Kumar
Each session is 2 hrs Instructor-led Live Online Session . Timings will be notified before program commencement.
| S No. | Date |
Topic |
Sub-Topic |
|---|---|---|---|
1 |
16/02/21 |
Course Overview |
Introduction and Overview of the Course |
2 |
20/02/21 |
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 |
3 |
21/02/21 |
Operators |
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 |
4 |
24/02/21 |
Review |
Assignment & Review Class |
5 |
27/02/21 |
Functions |
Functions Local variables within function Global variables Default argument values Keyword assignment VarArgs parameters Return statement DocStrings usage |
6 |
28/02/21 |
Modules |
create a new module of all sorting functions Byte compiled .pyc files from ... import statement Module Naming Making your own modules dir() packages |
7 |
03/03/21 |
Review |
Assignment & Review Class |
8 |
06/03/21 |
Data Structures |
Lists Objects and Classes (in short) Tuple Dictionary Sequence Set References More about Strings |
9 |
07/03/21 |
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.
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
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