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Python Course

4.5/5
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Course Description

Data is critical for any business as it helps them make decisions based on trends, statistical numbers and facts. Due to the importance of data, data science is a multidisciplinary field. Python is extremely important in data science and it is the starting step in data science. Data science utilises scientific approaches, frameworks, algorithms, and procedures to extract insight from a massive amount of data. These days, data science is the backbone of any industry and current trends indicate that it’ll accumulate even more importance in the coming days. Python is the language of data science. In our Python course, you will learn everything about the Python language and be able to manage memory in python, create functions, and use the programming language in data science.

Anexas Python courses will teach you anaconda and Jupyter notebook, memory management in python, data types in python, functions in python, conditional statements, lists in python, dictionaries, exception handling and a lot more. By the end of this course, you will become an expert in Python and will be able to move on to more complex parts of data science. Raise the bar and expand your boundaries. Hurry up! Limited seats are available.

Course Benefits

If you want your business to succeed, it is critical that you bank on data science. Data science uses machine learning, prescriptive analysis and predictive casual analytics to make decisions and predictions. To learn data science you first need to learn Python, since Python is the language of data science. By 2026, the U.S. Bureau of Labour Statistics estimates at least 11.5 million job vacancies related to data science. If you’re interested in the data science domain, there are several jobs you could look into. After becoming a certified Python professional, you will become more comfortable with data science concepts. Python is an extremely powerful language and with this skill at hand you will get better salaries, an advanced skill set, better job profiles, and you can grow your influential network.
  • Interactive online live training.
  • Lifetime access to online training videos to support the learning.
  • All study material required for the training.
  • Free eBooks with worked out projects.
  • Real-time project completion during the training.
  • Various industry projects.
  • Participants will be certified by ANEXAS Europe.
  • Soft and hard copies of the certificate.
  • International recognition.
  • Lifetime validity of certificates.
  • Tools required for the training.
  • Two free follow up online sessions 1 hour each with expert coaches.
  • Lifetime membership to Anexas Alumni group.
  • Get a chance to win cashback benefits.
  • Online Line Customer support 24*7.

Course Duration

60 Hrs

Study Material

Training Options

Self Learning

Online Live Training

  • 60 hours of rigorous training
  • Live interactive sessions with instant doubt clarification
  • Consistent mentorship for projects
  • Global recognition
  • Industry Expert trained Certificate from Anexas Europe
  • Lifetime Access to curricula videos
  • Diverse training batch
  • Flexible timings

Upcoming Batch

Weekday Batch: Contact [email protected]

Weekend Batch: 09th Jul

Classroom Training

Corporate Training

Course Content

  • Memory management in python
  • Raw memory allocator
  • python virtual machine & interpreter
  • memory deallocation
  • memory management visualisation
  • input & output functions in python
  • python programming components

  • Literals,constants,variables,identifiers
  • reserve words, expression statements
  • blocks & indentation in python
  • comments in python
  • Data types in python intro

  • fundamentals & derived data types
  • Integers,float,complex,string,none,boolean
  • List,tuple,set,frozenset,dictionary,bytes
  • byte array ,range
  • mutability & object reusability
  • operators in python,Arithmetic operators
  • comparison,equality operator
  • logical ,bitwise operator
  • identity operator

  •  function in python introduction
  • why do we need function
  • how to define function
  • calling function
  • return statements in python
  • types of arguments in python
  • anonymous function lambda
  • filter,map & reduce function
  • modules in python
  • Importing modules in python
  • build in vs user-defined modules
  • use of if_name_=='_main_'

  • conditional statements
  • If,elif,else
  • Loop Control
  • For & while loop
  • break & continue
  • pass in python
  • string,string indexing

  •   count,split,strip,rstrip,lstrp,rsplit
  •   find,index,startswith,endswith,format
  •   upper,lower,swapcase,replace,rfind
  •   rindex,title,isalpha,isalnum,isupper
  •   islower,istitle,join,isspace,isprintable
  •   isdigit,isnumeric,isdecimal
  •   practice problem on string
  •   assignment on string

  • List into
  • properties of list
  • List indexing & slicing
  • Nested list
  • List method
  • Tuple & Tuple methods
  • dictionary intro

  • Properties of dictionary
  • accessing elements in dictionary
  • nested dictionary
  • shallow copy & deep copy
  • dictionary method

  • Types of error
  • why do we need exception handling
  • try,except,else & finally block
  • user-defined exceptions
  • regular expressions & method
  • significance of special characters, quantifiers & symbols
  • examples on regular expression

  • File handling
  • types of file
  • why file handling is require
  • open() & close() function
  • different methods in file handling
  • seek() & tell() methods
  • functions to read & write
  • NumPy intro

  • array creation in NumPy
  • changing shape of array
  • basic operation, universal function
  • indexing & slicing in NumPy array
  • arrey with structured data
  • splitting,stacking & concatenation array
  • assignment on NumPy array

  • intro to panda
  • pandas series
  • pandas dataframe
  • addition & deletion
  • selection & indexing
  • contact & merge,groupby, handling missing data
  • assignments

  • creating multiple plots
  • setting colours,linewidth,linetypes
  • line & market style
  • plot range
  • special plot types

  • distribution plots
  • categorical plots
  • regression plots
  • style & colour
  • visualising linear relationship

Enquiry Form

Industry Projects

FAQ

Python is the most used programming language today and hence Python developers are required in almost all industries for automation, and data mining and most importantly Python’s Django is extremely used due to being an open-source web application framework.

  • ITIL, IoT, SIX SIGMA Certified professional with 14 years of experience in Project & Service Operation management.
  • Highly skilled in data Visualisation with MLOps tools & providing complex business solutions.
  • Handling Projects for Telecom & IT firms.
  • BE in Electronics & Telecommunication with first class from Mumbai University.

  • High demand
  • Multiple career opportunities in different domains
  • High pay due to high demand
  • Recruited by top companies
  • Highest used programming language
  • Opportunity to pursue self-career

According to recent research, a Python Developer earns an average of $ 118,978 USD in the United States and 427,293 INR in India every year. Some common job roles are-

  • Data Scientist
  • Python Programmer
  • Product Manager
  • Data Analyst
  • Data Journalist

Our Python course focuses on anaconda and Jupyter notebook, memory management in python, data types in python, functions in python, conditional statements, lists in python, dictionaries, exception handling and a lot more. By the end of this course, you will become an expert in Python and will be able to move on to more complex parts of data science.

Yes. Once you pay the fees for the training, all the other costs such as certification cost, examination cost, study material costs, tools and software cost, and project training cost will be included and no extra charges will be levied.

Anexas offers the following payment options:

  • Card payment
  • Net Banking
  • Cash

Can I cancel my enrollment? Will I get a refund?

If the cancellation is done by the delegate before 72 hours of the start of the training, 10% will be deducted as an administration fee.

If the cancellation is done by the delegate after that, no refund will be made.

After making the payment, the delegate can postpone the training date and join another batch, without any additional charges.

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Soft Copy Certificate

Hard Copy Certificate

Weekend Training Dates:

Feb 17, 24, Mar 2, 9,  2024
Mar 16, 23, 30, Apr 6, 2024
Apr 20, 27, May 4, 11, 2024

Weekdays Training Dates:

March 24, 27, 28, 29, April 1, 2, 3, 4, 5, 6, 7, 8, 15, 16, 18, 19, 2024

Green Belt Project Guidance

Black Belt Project Guidance

Soft Copy Certificate

Hard Copy Certificate

Weekend Training Dates:

Feb 24, Mar 2, 9, 16, 23, 2024
Apr 20, 27, May 4, 11, 18, 2024

Weekdays Training Dates:

Mar 21, 26, 27, 28, Apr 1, 2, 3, 4, 15, 16, 17, 18, 22, 23, 24, 25, 2024

Weekend Training Dates:

Feb  10, 11, 18, 2024
Feb 10, 16, 23, 2024
Feb 17, 24, 30, 2024
Feb 15, 22, 30, 2024
April 7, 21, 28, 2024
April 20, 26, May 3, 2024
April 18, 19, 26, 2024
April 18, 24, 31, 2024

Weekdays Training Dates:

Feb 14, 15, 16, 19, 20, 21, 22, 23, 26, 27, 2024
Mar 15, 18, 19, 20, 21, 22, 26, 27, 29, 2024
April 18, 19, 22, 23, 24, 25, 26, 29, May 1, 2, 2024

Weekend Training Dates:

Feb 23, Mar 1, 8, 2024
Feb 25, Mar 3, 10, 2024
Mar 30, 31, Apr 6, 2024
Mar 30, Apr 5, 6, 2024
Apr 27, May 3, 11,2024

Weekdays Training Dates:

Feb 28, 29, Mar 4, 5, 6, 7, 11, 12, 13, 14, 2024
Mar 28, April 1, 2, 3, 4, 5, 15, 16, 17, 2024