Data Science

'Data scientist' is the new coolest job. This course covers data science with python programming. Data mining, data analytics using NumPy, Scipy, Pandas etc, Data vizualization using matplotlib, seaborn etc, Machine learning, Deep learning, NLP, and Artificial Intelligence draws major focus. Latest case studies for each ML algorithm.

Course Highlights

Certificate

Course compilation certificate

Study Loan

@ No cost EMI

Assistance

* 24x7 assistance for 180 days

Flexible Timings

Weekday/Weekend/Fast-track

Job Referrals

For Freshers & Professionals

Live Projects

With AWS Deployment

Interview Preparation

Q&A, Resume Building, Mock Test

Add-ons

GUI Programming
Classroom & Online Batches

  Weekday Batch (Mon-Fri)

07:30 AM - 09:00 AM
09:00 AM - 10:30 AM
06:30 PM - 08:00 PM

  Weekend Batch (Sat-Sun)

08:00 AM - 10:00 AM
10:00 AM - 12:00 PM
12:00 PM - 04:00 PM

Sub Topics:
  • Numpy introduction and installation
  • Numpy array against python list
  • Attributes of ndarray
  • Numpy array creation
  • Basic operations
  • Indexing, slicing and iterating
  • Changing the shape of numpy array
  • Stacking together different arrays
  • Splitting numpy array
  • Copies and Views
  • Broadcasting rules
  • Visualization of numpy array


Sub Topics:
  • Pandas introduction and installation
  • Pandas DataStructures - Series, Dataframes, Panel
  • Basic functionality of Series and Dataframes
  • Statistical functions
  • Reindexing
  • Iteration
  • Sorting
  • Aggregations
  • Grouping
  • Joining
  • Timedelta
  • Visualization


Sub Topics:
  • Creating dataframes from csv
  • Creating dataframes from excel
  • Reading data from SQL databases
  • Exporting data to txt/csv/excel
  • CRUD operations via API


Sub Topics:
  • Matplotlib introduction and installation
  • Line plot
  • Scatter plot
  • Bar graph
  • Histogram
  • Imshow
  • Contour plot
  • Pie chart
  • Grids
  • Multi plot
  • 3D plotting


Sub Topics:
  • Linear Regression
  • Dimensionality reduction
  • Logistic Regression
  • KNN (k-Nearest Neighbour)
  • SVM (Support vector machines)
  • Random Forest
  • Decision tree
  • Naive Baes


Sub Topics:
  • K-means clustering
  • Apriori algorithm for association


devu.in follows pratical teaching approach in classroom which helped me clear job interviews.
Top class institute to upgrade your skills in Python. Trainers are unique in their teaching strategies as well as their content for Python is one in the world. I guess this is the only Python specific centre in Bangalore and so it makes it more perfect to start your python journey. You will never regret your decision at Devu.


Date published: 01/03/2018
devU Student Reviews  
5 / 5 stars