Data Science Course in Pune|Best Training & Placement Institutes in Pune|Data Science Classes in Pune.

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Why to choose Data Science Course at CodeKul.com
  • 100% Practical Oriented Sessions.
  • Low Data Science Course fees.
  • Our Data Science developer trainers have minimum 10 years of data science experience in MNC.
  • Course completion certificate.
  • Job oriented small project has to be completed from every student.
  • Expalin with Real time examples scenario
  • So for your bright career fill the form and book your seat for free Data science class in Pune.
  • Learn How to use tools while ceating operations on dumy data
  • Lab Facility 24*7 available
  • 7000+ Total Number of Fresher Students Learned Software Development
  • 1300+ Corporate Students Have Learned Software Development Course
  • 60+ Total Corporate Batches Conducted at different Organisations
  • Having 5* Reviews on Google and Facebook
  • 80+ Total College Workshop Conducted at city like Pune, Mumbai, Goa, Sangli, Kolhapur, Ahmednagar, Nashik
  • 120+ Students Placed in different Organizations
  • We are Having 2000+ YouTube Subscriber making CodeKul.com as the largest Online Platform in Pune for CodeKul.com students.
  • CodeKul.com Arrange regular Meetups for our Students
  • Data Science Course duration Daily 1Hrs, Weekend 2Hrs, Tatal 60Hrs course
  • GitHub : Creating Git Account and own repositories, Basics operations Clone, Pull and Push
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About Data Science Training Course


What is Data Science?

Data is everywhere whether in unstructured and structured format. Data science is a combination of data inference, algorithm development, and technology in order to solve analytically The basic goal of Data Science is solve analytically multiplex problems. Data scientists combine statistics, mathematics, programming, problem-solving, capturing data in ingenious ways, the ability to look at things differently to find patterns, along with the activities of cleansing, preparing, and aligning the data of complex problems.


Data Analytics the science of examining raw data with the purpose of drawing conclusions and solve problems about that information. Process and perform statistical analysis of data. It can be done using the aid of specialized systems and software. Where data has been present hugely and can't be analyzed by using regular software then it is called Big Data.

What are the Scope of Data Science?

There is a huge scope of learning a data science these days as the concept of artificial intelligence, machine learning, and data mining is grooming day by day.

The skills that a person can have to make his career and become a data scientist are Statistics, Software, Tools, Machine Learning, Data Visualization, Linear Algebra and Multivariable Calculus, Data Mugging, Software Engineering and most importantly Thinking Like A Data Scientist.

How the course will benefit me??

In todays world Data science develper is having good job opportunity in software industry. Data science technology is now spreading spread across all over the world. Once you enroll for the data science course you will get the good salary increament in software industry.


Who is the target audience?

In fact anybody can become data scientist. Whobody has been interested in mathematics, programming, statistics and designing they can become data scientist. As per your qualification you should make your career in data science if you are complete your graduation in BE, ME, BCA, MCA, B-Tech, and M-Tech. Working professionals who are having handson with Java, Python devlopment

Objectives of Data Science -

    1. Understand data science process and Analytical Life Cycle.

    2. Getting knowledge about on Big Data and Hadoop Ecosystem.

    3. Learn R Programming

    4. Work with different data format.

    5. Learn tool and technique for data transformation and visualization.

    6. Understanding data mining technique and their implementation.

    7. Understand Machine Learning and Artificial Intelligence.

    8. Understand the role of data scientist

    9. Able to build data products.

    10. Evaluate performance of your deep Learning Models.

    11. Learn statistical model building and optimization technique.

    12. Analyze data using machine learning.

    13. Collecting Data.

    14. Processing Data.

    15. Exploring and visualising Data.

    16. Analyze & Applying Learning.

    17. Deciding Based upon Insights.

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Data Sicence using Python Course Syllabus


  1. Python Language basics
  2. Data Analysis: NumPy
    1. What is Numpy and how to install and use Numpy
    2. Numpy v/s Lists
    3. Creating Arrays from Python Lists
    4. Creating Arrays from Scratch
    5. NumPy Standard Data Types
    6. NumPy Array Attributes
    7. Array Indexing: Accessing Single Elements
    8. Array Slicing: Accessing Subarrays
    9. Reshaping of Arrays
    10. Array Concatenation and Splitting
    11. Summing the Values in an Array
    12. Minimum and Maximum in Array
    13. Array Sorting
  3. Pandas
    1. What is Pandas and how to install and use Pandas
    2. Introducing Pandas Objects
    3. Pandas Series Object
    4. Pandas DataFrame Object
    5. Data Indexing and Selection in Series and Dataframe
    6. Pandas – Missing Data
    7. Pandas – Aggregations
    8. Pandas – GroupBy
    9. Pandas – Merging/Joining
    10. Pandas – Concatenation
    11. Pandas – Sorting
    12. Pandas – Date Functionality
    13. Pandas – Timedelta
  4. Data Visualisation: Matplotlib
    1. What is matplotlib and how to install and use it
    2. Introducing Matplotlib pyplot
    3. Matplotlib – axes class
    4. Matplotlib – Formatting the axes
    5. Matplotlib – Multiplot
    6. Matplotlib – Subplot
    7. Matplotlib – Bar Plot
    8. Matplotlib – Histogram
    9. Matplotlib – Scatter plot
    10. Matplotlib – Boxplot
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Data Science Job Assistance Program


Once you successfully finish your Data Science assignments and projects, our counselors provide you with one-on-one career guidance with great emphasis on mock interviews and building an online professional portfolio to help you get noticed by top recruiters.

Resume Building

Our industry experts tell you what exactly to put in your resumes and how to highlight them on top job portals.

Online Reputation Building

We establish your presence on all the right social networks like Git, Stack Overflow, LinkedIn, etc.

Mock Interviews

Our industry experts give you insider tips on how to face the real tech interviews of top firms.

Placement Assistance

Interviews with top MNCs and start-ups and periodic placement drives will be arranged.

CodeKul.com Stats

30+

Offers Made to our Data Science developer Students

25000+

Hours Spent Coding

100+

Hiring Partners

500+

Projects Completed by Students

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