Register NowFor Summer training
Register Now For Training

Data Science

Learn by working on an end to end Data Science project by Industry Expert.

What you'll learn
  • Successfully perform all steps in a complex Data Science project
  • Create Basic Tableau Visualisations
  • Understand how to apply the Chi-Squared statistical test
  • Apply Ordinary Least Squares method to Create Linear Regressions
  • Assess R-Squared for all types of models
  • Create a Multiple Linear Regression (MLR)
  • Apply SQL to Data Science projects
data science

Data Science

Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!

Course Content

Section A: Introduction to Data Science
  • What is data Analysis?
  • What is Python?
  • Why python for data Analysis?
  • Essential Python Libraries
  • Installation and setup
  • Jupiter Notebook
  • PY-Charm
Section B: Numpy Arrays
  • Creating multidimensional array
  • NumPy Data types
  • Array attributes
  • Indexing and Slicing
  • Creating array views and copies
  • Manipulating array shapes
Section C: Statistics and Linear Algebra
  • Basic statistics with Numpy
  • Linear Algebra with Numpy
  • Numpy random numbers
  • Creating a Numpy masked array
Section D: Intermediate Python for Data Science
  • Matplotlib
  • Dictionaries & Pandas
  • Logic, Control Flow and Filtering
  • Loops
  • Case Study
Section E: Importing Data in Python
  • Introduction and flat files
  • Importing data from other file types
  • Working with relational databases in Python
  • Importing data from the internet
  • Interacting with APIs to import data from the web
  • Dividing deep into the Twitter API
Section F: Working With Pandas
  • Installing pandas
  • Pandas data frames
  • Pandas Series
  • Data aggregation with Pandas Data Frames
  • Concatenating and appending Data Frames
  • Joining Data Frames
  • Handling missing data
  • Time series in pandas
Section G: Manipulating Data Frames with Pandas
  • Extracting and transforming data
  • Advanced indexing
  • Rearranging and reshaping data
  • Grouping data
  • Bringing it all together
  • Preparing data
  • Concatenating data
  • Merging data
  • Case Study - Summer Olympics
Section H: Analyzing Police Activity with Pandas
  • Preparing the data for analysis
  • Exploring the relationship between gender and policing
  • Visual exploratory data analysis
  • Analyzing the effect of weather on policing
Section I: Intro to SQL for Data Science
  • Selecting columns
  • Filtering rows
  • Aggregate Functions
  • Sorting, grouping and join
Section J: Introduction to Shell for Data Science
  • Manipulating files and directories
  • Manipulating data
  • Combining tools
  • Batch processing
Projects:
  • Face Recognition
  • Case Study - Summer Olympics
  • Twitter Sentiment Analysis
  • Smart Attendance system
  • Recommender systems

Coming Soon...

Pre-Requesties

  1. 1. Basic Knowledge of Python.
  2. 2. Should have laptop.

Training Benefits

  1. 1. Internship & full-time job offer after training
  2. 2. Certificate of Excellence by IIT Bhubaneswar.
  3. 3. Learn from Industry Experts
  4. 4. 90% practical internships
  5. 5. Live classes
  6. 6. ISO Certificates
  7. 7. Placement Interviews