• 10,000.0012,500.00
  • 6 months
189 STUDENTS ENROLLED

    Python For Data Science & Exploratory Data Analysis Python

    India is the second-highest country to recruit employees in the field of data science or data analytics, etc. with 50,000 positions available – second only to the United States. Data science jobs in India are expected to see 1.5 lakh new openings in 2020, which is an increase of about 62% as compared to 2019, according to a report by Great Learning. Currently, 70% of job postings in this sector are for Data Scientists with less than five years of work experience.

    This trend is only going to grow faster. We will be providing you all the help you need to go from an amateur to a working professional. We will be giving you detailed pdfs alongside 50+ video lectures, solve your doubts 24×7, and provide you with Interview questions and Mock interviews. We will be teaching you how to Install Python, Strings, Lists, Tuples Dictionary, sets, Python functions, NumPy, Pandas, Matplotlib, Seaborn, and EDA use cases like Zomato delivery analysis, credit risk analysis and more. If you are confused you can watch our free 5 demo videos so you will know exactly what you are paying for. We will teach you

     

    What is included in Our Python for EDA Course?

    • Fundamentals of Python
    • Data visualization using Seaborn Matplotlib
    • Actual practical use cases like credit risk analysis and zomato delivery analysis.
    • Detailed PDFs complimenting the video lectures.
    • Faculty support via Whatsapp, Con-call
    • Doubt sessions – Via Whatsapp, Con-call, Webinar
    • Interview Support – We will be providing you with Interview questions and also conducting mock interviews to give you a definitive edge over the rest of the crowd.

     

    Demos Lecture – Python For Data Science

     

    Course Highlights For Python Online Course

    • Validity: 3 Months / 6 Months
    • No. of videos: 50+ hours
    • Certificate: Certificate from Takshila Learning
    • Interview Support: We will be providing you with Interview questions and also conducting mock interviews to give you a definitive edge over the rest of the crowd.
    • Language: Bilingual(Hindi + English)
    • Mode of Delivery: Pen drive, Online Classes
    • Queries/Problems Solution: via Online Discussion Forums, Live Chat with Faculty, and over Phone Calls.

     

    Career Opportunities for Python Programmers:

    • EDA Engineer
    • Python Developer
    • Research Analyst
    • Data Analyst
    • Data Scientist
    • Software Developer
    • DevOps Engineer
    • Web developer
    • Learn HTML, JavaScript, CSS, and Django to become a full-time web stack developer.
    • Learn Machine learning after this course
    • Use SciPy, NumPy, and Django in the BFSI sector to display sophisticated calculations.

     

    About the Faculties:

    Takshila Learning combined 24+ years of experience in Machine learning, data analysis, and Financial data analytics for this Python for EDA Course prepared by-

    Nitin Joseph – certified by IMA Bangalore chapter for RPA and Machine learning in Finance and accounting.

    Munmun Ghosal – She is working as a Data Scientist and trainer. She has a total of 9 years of work experience in academics and industry with research areas in Data Analytics, Machine Learning, VLSI, and Signal processing. She is passionate about learning and sharing knowledge, innovation, programming, writing technical blogs.

    She delivers corporate and onsite training at various industries and Management/Engineering Colleges. She has worked on various projects on Data Analytics, Machine learning and AI,  IoT, VLSI, and Signal processing. Her skill set includes R, Python, Tableau, Power BI, VHDL, VERILOG, C Language, C++, Excel, MATLAB, Virtuoso ADE of CADENCE (45 nm), Xilinx ISE, Aldec’s Active HDL, and Microwind. She has presented and published research papers in several reputed national /international journals and conferences. She has completed her M. Tech (VLSI) and B.E. (Electronics Engineering).

    Hemant Singh – B.Tech in Computer Science and Engineering(Specialization in Data Analytics). Trains college students and industry professionals specifically on data science. 1-years Experience in Data Analytics

     

     

    Features of our classes

    Online Classes

     Call @ 8800999280 / 8800999283 / 8800999284 or fill the form for any other details:

     

    FAQ Of Python Online Course

    1) What is Python? What are the benefits of using Python?

    Python is a high-level, interpreted and general-purpose dynamic programming language that focuses on
    code readability.
    The syntax in Python helps the programmers to do coding in fewer steps as compared to Java or C++.
    The language founded in the year 1991 by the developer Guido Van Rossum has the programming easy and
    fun to do.
    The Python is widely used in bigger organizations because of its multiple programming paradigms.
    They usually involve imperative and object-oriented functional programming.
    It has a comprehensive and large standard library that has automatic memory management and dynamic
    features

     

    2) What Is Python Used For?

    Python is widely used in Artificial Intelligence, Machine Learning, Neural Networks and other advanced
    fields of Computer Science.
    One can use python for the following:
    • System programming
    • Graphical User Interface Programming
    • Internet Scripting
    • Component Integration
    • Advance Analytics

    • Model Building
    • Artificial Intelligence
    • Machine Learning
    • Database Programming
    • Gaming, Images, XML , Robot and more

     

    3) How Long Does It Take to Learn Python?

    With the proper time and dedication, you can learn Python in just a few months.
    Like any skill, how quickly you learn Python is ultimately dependent on how much time and effort you put in.
    It’s because all of us possess unique abilities and tend to perform differently in different mental tasks. And
    hence, the learning curve could be shorter for some and longer for many. Anyways, coming to the point,
    Python is a very simple, elegant, and type free programming language. So, it’s relatively easy to learn.
    However, you can see it from three different levels.
    1. Elementary Python
    2. Advanced Python
    3. Professional Python
    Basic Python is where you get to learn syntax, keywords, if-else, loops, data types, functions, classes
    and exception handling, etc. An average programmer may take around 6–8 weeks to get acquainted with
    these basics.

     

    4) Why Python and how popular is it for Data Science?

    The most alluring factor of Python is that anyone aspiring to learn this language can learn it easily and quickly.
    When compared to other data science languages like R, Python promotes a shorter learning curve and
    scores over others by promoting an easy-to-understand syntax.

     

    5) What does a Data Scientist do?

    Data scientists work closely with business stakeholders to understand their goals and determine how data
    can be used to achieve those goals. They design data modeling processes, create algorithms and predictive
    models to extract the data the business needs, then help analyze the data and share insights with peers.

     

    6) Which companies use Python?

    Many companies use python these days. The top tier companies using Python are as follows

    Google – Python is in their top 3 alongside C++ and Java
    Amazon – the machine learning engine is powered by Python
    Microsoft – Python used for data science and analytics
    Facebook – Python helps in maintaining and managing FB infrastructure
    Instagram -Instagram moved to Python 3 is just great example of a gigantic tech company
    using python in combination with Django. Instagram has about 400M of daily active users who
    share more than 95M photos & videos. Instagram choose Python because of its simplicity &
    popularity.
    IBM -IBM uses Python for its factory tool control applications.
    Spotify – Python used for backend and data analysis
    Netflix – Python used for machine learning and marketing recommendations (and many others)
    Uber – at the lower level backend, the engineers work mostly in Python, Node.js, Go and Java
    Walt Disney Feature Animation-It uses Python as a scripting language for animation. All the
    magic that happens in Disneyland has a bit of Python behind it.
    Yahoo! Maps – It uses Python in many of its mapping lookup services & addresses.

    Survey Monkey– Survey Monkey use Python were its simplicity, tons of libraries allowing to
    build Web Apps faster, as well as facilitating working with deployment, Unit Testing, etc.
    YouTube – Python has been the driving force behind YouTube, used by millions for
    downloading & uploading videos of all hues and sizes. YouTube has been coded in a way
    which makes it easier & extremely interactive for the user.
    Quora– Quora is a portal where you get your answers. Quora’s language programming has
    been developed using Python’s framework.
    Dropbox – Many of our choices to store our data are going online. We create a document, we
    save it & we share it. It is the ideal way to preserve your documents online. This file hosting has
    been created by using Python.
    Reddit– It is a place where you can find a lot of information & entertainment across thousands
    of categories. Popularly called internet’s front page has been developed by using Python.
    Bitly– The popular link management platform created by Peter Stern in 2008 shortens close to
    600 million links annually. This website also owes greatly to Python as it came into existence
    because of Python.
    Nokia– Nokia make uses of Python for S60 and also Python for Maemo for its S60 & Maemo
    software platforms.
    NASA– The NASA uses Workflow Automation System, an application written & developed in
    Python. It also uses Python for Astronomy Picture of the Day, API, PyMDP Toolbox, Everest,
    PyTransit.

     

    7) What do I need to start with Python for a Data Science course?

    • A working laptop / desktop with 4 GB RAM
    • Internet connection

     

    8) I am familiar with a few Programming Languages like C++/PHP/. Will it help me in learning
    Python?

    Yes, definitely. But even if you are new to any programming language , You can learn python easily.

     

    9) Are there copyright restrictions on the use of Python?

    You can do anything you want with the source, as long as you leave the copyrights in and display those
    copyrights in any documentation about Python that you produce. If you honor the copyright rules, it’s OK to
    use Python for commercial use, to sell copies of Python in source or binary form (modified or unmodified), or
    to sell products that incorporate Python in some form. We would still like to know about all commercial use
    of Python, of course.

     

    10) Why is it called Python?

    Python was invented by Guido van Rossum in the Netherlands, in early 90s. Guido Van Rossum is fan of
    ‘Monty Python’s Flying Circus’, a famous TV show in Netherlands
    When he began implementing Python, Guido van Rossum was also reading the published scripts
    from “Monty Python’s Flying Circus”, a BBC comedy series from the 1970s.
    Van Rossum thought he needed a name that was short, unique, and slightly mysterious, so he decided to
    call the language Python.

     

    11) What are the key features of Python?

    • Interactive
    • Interpreted
    • Modular
    • Dynamic
    • Object-oriented
    • Portable
    • High level

     

    12) What are the drawbacks of Python?

    • Difficulty in using other languages
    • Weak in mobile Computing
    • Run-Time errors
    • Underdeveloped

     

    13) What Course material i will get with this course.

    • Detailed Syllabus
    • Recorded Sessions covering concepts and practical.
    • Pdf’s with detailed explanation of the respective videos.
    • Python files for reference
    • Assignments/ Problem Statements/ Interview Questions

     

    Important Keywords

    Exploratory data analysis using python / Python programming for beginners / Python data analysis /Python online course / Python for data science / EDA python / Exploratory data analysis python / Python for financial analysis / Python finance course / Python for eda

     

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    Course Curriculum

    PYTHON INSTALLATION
    Video and PDF/HTML file for Introduction to Python 00:30:00
    Video and PDF/HTML file for Installation of Python 00:10:00
    PYTHON VARIABLES
    Video and PDF/HTML file 00:30:00
    PYTHON OPERATORS
    Video and PDF/HTML file for Operators 00:15:00
    Video and PDF/HTML file for Range Function 00:10:00
    PYTHON CONDIITONAL STATEMENT
    Video and PDF for Conditional Statement and Comparators 00:11:00
    Video and PDF for IF-Statement 00:09:00
    Video and PDF for IF-ELIF-ELSE Statement 00:08:00
    Video and PDF for IF-ELIF-ELSE Statement 00:08:00
    Video and PDF for Nested – IF Statement 00:09:00
    PYTHON LOOPING CONCEPT
    Video and PDF for For loop 00:08:00
    Video and PDF for While 00:10:00
    Video and PDF for Break and Continue 00:10:00
    PYTHON STRING
    Video and PDF for String 00:07:00
    Video and PDF for String manipulation 00:30:00
    PYTHON LIST
    Video and PDF for List 00:07:00
    Video and PDF for List Comprehension 00:40:00
    PYTHON TUPLE
    Video and PDF for Tuple 00:05:00
    Video and PDF for Tuple Operations 00:10:00
    PYTHON DICTIONARY
    Video and PDF for Dictionary 00:05:00
    Video and PDF for Dictionary Comprehension 00:30:00
    PYTHON SET
    Video and PDF for Set 00:07:00
    Video and PDF for Set Operations 00:15:00
    PYTHON FUNTION
    Video and PDF for Python Function 00:17:00
    PYTHON MAP, REDUCE AND FILTER FUNCTIONS
    Video and PDF for Map Function 00:10:00
    Video and PDF for Reduce Function 00:10:00
    Video and PDF for Filter Function 00:11:00
    Video and PDF for lambda Function 00:06:00
    PYTHON WORKING WITH FILES
    Video and PDF for Reading and Saving file as .CSV and Text 00:10:00
    PYTHON NUMPY
    Video and PDF for Python Numpy 01:10:00
    PYTHON PANDAS
    Video and PDF for Python Pandas 01:10:00
    PYTHON MATPLOTLIB
    Video and PDF for Python Matplotlib 01:00:00
    PYTHON SEABORN
    Video and PDF for Seaborn, Data Visualisation with Seaborn 01:10:00
    BASIC STATISTICS
    Video and PDF for Basic Statistics 01:00:00
    EDA
    Video and PDF for EDA Explaination 00:30:00
    USE CASE
    Video and PDF for Use Case-1 on Zomato Dataset 01:00:00
    Video and PDF for Use Case-2 on Bike-Sharing Dataset 01:00:00
    Video and PDF for Use Case-3 on Bank Marketing Data 01:00:00
    Video and PDF for Use Case-4 on Bank Risk Detection 01:00:00
    Video and PDF for Use Case-5 on Credit card Fraud Data 00:35:00

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      Takshila Learning https://www.takshilalearning.com/course/python-course Python For Data Science & Exploratory Data Analysis Python Online Course