Python with Data Science Course

Python with Data Science is the latest trend in the industry. From banks to e-commerce companies to manufacturing industries, they all now know the importance of data science career and have adopted it in their daily activities to improve their performance. Upgrade your career with Techmed Academy. Learn Data Science With Python Training in Bangalore from the Certified Data Science Experts.

20 +

Students Empowered

6 Months

Recommended 10-14 hrs/week

To be Announced

Next Batches Start From

60 +

Hiring Partners

Program Overview

Key Highlights

  • Industry recognised Techmed Certificate
  • Internship Certificate
  • Case Studies and Projects
  • One-on-One with Industry Mentors
  • Personalised Resume Feedback
  • Mock Interviews by Hiring Managers

Python with Data Science Course in Bangalore

  • TOP SKILLS YOU WILL LEARN
    Roles and Responsibilities of Data Scientist, Life cycle of projects, Tools and Technologies, Fundamentals, Data Statistics, Probability Distributions, Hypothesis Testing, Python Programming, Python Data Types, Python Libraries for Data Science, Machine Learning, Loops and Decision Making and more.
  • JOB OPPORTUNITIES
    Data Engineer, Data Scientist, Data Visualizer, Data Analyst, Business Analyst, E-Commerce, Banking, Finance, Healthcare, Telecommunications, Travel & Tourism and more.
  • THIS PROGRAM IS FOR WHOM?
    Python developers, IOS Developers, Backend Developers, Freshers. Programmers, Web Developers, Android Developers, Web Designers, Programming Geeks, Database Admins and more.
  • ELIGIBILITY
    Bachelor’s or Equivalent Degree & Master Degree in CS. Pick up the right tools SAS, Python, SPSS, R, and SQL. Learn the important tricks What are the skills required to kick start your career in data analytics?
Python Training in Bangalore

Why Techmed Is your choice?

Syllabus

Best-in-class content by leading faculty and industry leaders in the form of classes, cases and projects, assignments and live sessions

Introduction to Data Science

  • 1 Weeks 05 Assignments
What is Data Science? – Introduction
Roles and Responsibilities of a Data Scientist
Life cycle of Data Science project
Tools and Technologies used
Statistics for DATA Scientist

  • 1 Weeks 10 Assignments
Types of Data
Data Measurement Scales
Fundamentals of Probability
Bayes Theorem
Descriptive Statistics

  • 1 Weeks 05 Assignments
What id Descriptive Statistics
Measure of Central Tendency (Mean, Mode and Median)
Measure of Dispersion/Spread (Range, Variance and Standard Deviation)
Inferential Statistics

  • 1 Weeks 05 Assignments
What is Inferential Statistics
Types of Sampling Techniques
Probability Sampling
Non Probability Sampling
Central Limit Theorem
Probability Distributions

  • 1 Weeks 15 Assignments
Types of Probability Distributions
Binomial Distribution
Poisson Distribution
Hyper Geometric Distribution
Normal Distribution
Z Distribution
T distribution
Hypothesis Testing

  • 2 Weeks 20 Assignments
What is Hypothesis Testing
Types of Hypothesis Testing
Parametric Hypothesis Testing
2 Independent Samples T test
Paired T test
ANOVA (Analysis of Variance)
Chi – Square test for Independence
Chi – Square test for Goodness of Fit
Non Parametric Hypothesis Testing
Mann – Witney U Test
Wilcoxon Signed Rank Test
Kruskal – Wallis Test
Types of Errors (Type | and Type || Errors)
Co-variance, Correlation and Regression
Python Programming

  • 3 Weeks 20 Assignments
Introduction to Python with Anaconda Distribution
Introduction to Jupiter Notebook
Crash Course on Python Programming
Types of Operators
Python Data Types
List
Tuple
Dictionary
Sets
Data Types Operations & Methods
Flow Controls
If…..Else Statements
If ….Elif ….Else Statements
For Loops
While Loops
Functions
List Compressors
Lambda, Map and Filter
Introduction to Essential Python Libraries for Data Science

  • 1 Weeks 10 Assignments
Numpy, Pandas, Matplotlib, Seaborn and Scikit Learn Libraries
Numpy

  • 1 Weeks 15 Assignments
Introduction to Numpy Library
Numpy Arrays
Numpy Indexing and Selection
Numpy Operations
Pandas

  • 1 Weeks 10 Assignments
Introduction to Pandas Library
Pandas Series and Data Frames
Pandas Indexing and Selection
Pandas Operations
Data Mugging / Wrangling with Pandas

  • 1 Weeks 08 Assignments
Handling Missing Data
Group by Method
Merging, Joining and Concatenating Data Frames.
Pivot Table
Reshaping the Data Frame
Cross Tab / Contingency Table
Data Visualization

  • 2 Weeks 20 Assignments
Various types of Plots and their Applications
Introduction to Matplotlib Library
Creation of plots
Plot Styles
Introduction to Seaborn Library
Distribution Plots
Categorical Plots
Matrix Plots
Regression Plots
Pandas Built-in Visualizations
Machine Learning

  • 8 Weeks 15 Assignments
Data Pre-processing Techniques:

  • Sanity Checks
  • Missing Value Detection and Treatment
  • Outlier Detection and Treatment
  • Variable Transformation Techniques
  • Exploratory Data Analysis
  • Uni-Variate Analysis
  • Bi-Variate Analysis
Machine Learning Basics:

  • Types of Machine Learning Techniques
  • Steps Followed in ML Model Building
  • Train set, Validation set and Test set
  • Bias and Variance Trade-off Study
Supervised Machine Learning Models:

  • Linear Regression
  • Simple Linear Regression
  • Multivariate Linear Regression
  • Logistic Regression
  • Decision Tree
  • Support Vector Machine
  • k Nearest Neighbours (kNN)
  • Naïve Bayes
Unsupervised Machine Learning Models (Clustering):

  • Types of Clustering Algorithms
  • K Means Clustering Algorithm
  • Hierarchical Clustering Algorithm
  • Evaluation of Clustering Techniques
Dimensionality Reduction Techniques:

  • PCA (Principal Component Analysis)
  • LDA (Linear Discriminate Analysis)
Loops and Decision Making

  • 1 Weeks 10 Assignments
if statements
..else statements
nested if statements
while loop
for loop
nested loops
Loop Control Statements:

  • 1) Break Statement
  • 2) Continue Statement
  • 3) Pass Statement
Other Topics

  • 2 Weeks 20 Assignments
Bagging Methods
Random Forest
Boosting Methods
Ada Boost (Adaptive Boosting)
XG Boost
Cross Validation Techniques (Pre-processing step)
K-Fold Cross Validation
Stratified K Fold Cross Validation

Career Impact

Career Counselling

Every student wants to follow a success oriented carrier which can provide them a satisfactory profession.
Techmed carrier council help them to realize their dreams by providing various opportunities in terms of placement and career guidance.

Career Transition

If you want to return to the workforce, you have to manage and overcome the unspoken assumptions about who you are and what you’re capable of.
We, Techmed lay out very clearly what you have learned about managing, inside or outside of a professional setting.

Hiring Partners

Program Fee


What's Included in the Price?

  • Certification in Techmed Academy
  • Study Materials provided
  • Resolution to all your queries
  • Healping In Portfolio Preparation
  • Workshops and seminars
  • Interview Assistance

Let us know you are Interested!

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