Data Science

  • Interactive Classes

    Online Sessions, Highly Interactive Classes with Experienced Faculty,Engaging students through interactive learning activities promotes independent thinking skills. To maximise the learning experience, teachers need to stimulate students to be active learners through questioning, enquiring, responding and critically analysing a variety of questions and situations.

  • Experienced Faculty

    Learn from Highly Qualified & Experienced Industry Practitioners,Every Faculty is committed to providing excellent service .A unique and effective pedagogy with industry matched curriculum, highly interactive classes taken by corporate faculty, virtual labs to practice in real time and help by experts round the clock to ensures you grasp the most out of your training.

  • Help by Experts

    Expert Guidance when you get stuck, one to one communication provided by the faculties, every Q&A solved instantly by the expert in their technology.

Course curriculum

  • 01
    Starting with Numpy
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    • Jupyter FREE PREVIEW
    • Numpy Arrays
    • [A1#1] Exercises
    • Sum, Mean, Std, Min, Max
    • [A1#2]-Exercises
    • Array and Scalar Arithmetic
    • [A1#3]-Exercises
    • Array and Array Arithmetic
    • [A1#4]-Exercises
    • Standardising Data
    • [A1#5]-Exercises
  • 02
    More about Numpy
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    • Array and Scalar Comparisons
    • [A1#6]-Exercises
    • Array and Array comparisons
    • [A2#1]-Exercises
    • Index Array
    • [A2#2]-Exercises
    • Logical Operators on Array
    • [A2#3]-Exercises
    • Array Copy
    • [A2#4]-Exercises
    • Slicing an Array
    • [A2#5]-Exercises
  • 03
    Handling CSV Files
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    • Reading a CSV File
    • [B1#1]-Exercises
    • Handling Data Types from CSV
    • [B1#2]-Exercises
    • Manipulating Data
    • [B1#3]-Exercises
    • Analysing the Data
    • [B1#4]-Exercises
  • 04
    Matplotlib
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    • Line Charts
    • [B1#5]-Exercises
    • Bar and Stacked bar charts
    • [B1#6]-Exercises
  • 05
    Starting with Pandas
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    • Panda Series
    • [B2#1]- Exercises
    • Traversing
    • [B2#2]- Exercises
    • Index, loc, iloc
    • [B2#3]- Exercises
    • Idxmax, idxmin
    • [B2#4]- Exercises
  • 06
    Data Frames
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    • Creating a DataFrame
    • [B3#1]-Exercises
    • Creating Data Frames - 2
    • [B3#2]-Exercises
    • Operations on a Data Frame
    • [B3#3]-Exercises
  • 07
    Project-1
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    • Description
  • 08
    Project-2
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    • Description

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