Data Science Career Program
4.5 /5- Offered byOdinSchool
Data Science Career Program at OdinSchool Overview
Duration | 6 months |
Total fee | ₹90,000 |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
Data Science Career Program at OdinSchool Highlights
- Get a certificate of completion from OdinSchool
- Risk-free pay-on-placement model (ISA) & assured placement
- Domain-based capstone projects focused on solving real-world problems
- Get career services like Interview preparation, Resume forwarding, Placement assistance, and Mentorship services
- Collaborate with peers on real-life projects to develop concepts and showcase expertise
- Dedicated student success team to support and encourage students throughout the program
Data Science Career Program at OdinSchool Course details
- OdinSchool's Data Science Career Program is designed for professionals and graduates
- At the end of this program, you will have a working knowledge of everything necessary to get started with a career in Data Science.
- Mentorship Sessions with industry veterans to always steer you in the right direction and make sound career and learning choices
- Interview Preparations to best highlight your profile to the interviewer and show how you make a good fit for their requirement
- Profile Building activities to showcase what you have learned and how you have competently applied your Data Science knowledge
- Resume Forwarding through our network of large-scale recruiters and organizations to maximize the visibility of your profile in the job market
- Learn languages such as Python, SQL, Anaconda, Jupyter, Keras, Numpy, Pandas, Python, Scikit, Scipy, TensorFlow
- OdinSchool's Data Science Career program prepares you for these emerging roles. Built on a belief that learning through projects leads to outcomes, this program targets the highest state of job readiness for each participant.
- Each day a student spends in the program is expected to get them a step closer to their goals by preparing them not just for the big interview day, but even beyond that so they excel in their new role.
- We have put together a blended experience that is made of multiple components that augment and complement each other in a way that reinforces everything a student learns.
- Build predictive models and machine-learning algorithms with supervised and unsupervised learning.
- Preprocessing of structured and unstructured data using Python
- Present information using data visualization techniques using advanced libraries
- Analyze large amounts of data to discover trends and patterns using python libraries
- Selecting features, building and optimizing classifiers using machine learning techniques
- Predictive modeling and statistical analysis using Python
- Analyze databases using PostgreSQL
Data Science Career Program at OdinSchool Curriculum
Python
Introduction To Python
Syntax, Variables, Numbers, Strings operations & Data Types
Python Lists, tuples, dictionary & sets
Conditions, Loops
Python Functions, Arrays, Object Oriented Programming, Python Dates
Intro to Numpy, Numpy Array, Slicing and Indexing
Shape Reshape, Split, Sort, Random
Intro to Pandas, Pandas, Dataframe
Reading data, EDA
Data correlation, pandas plotting
Statistics
Data types, samples and sampling techniques
Numerical Summary
Tables and Graphs
Probability
Probability distribution
Central Limit Theorem
Hypothesis Testing
Confidence Interval
T test
ANOVA
Contingency table
Correlation
Evaluation matrix
SQL
SQL vs NOSQL vs MySQL, How does RDBMS work?
SQL procedures
Intro to SQL Functions-SQL tables, select & from, constraints
Aggregate and string functions, Sub-Queries & Joins
Limit & Distinct, Where & Group By , Having & Order By, Operators- Arithmetic, logical operators, Set Operators
SQL Database-SQL Create DB, SQL Drop DB
SQL Backup DB, SQL Create Table
SQL Drop Table, SQL Alter Table
SQL Constraints-SQL Not Null, SQL Unique, SQL Primary Key, SQL Foreign Key
SQL Auto Increment, SQL Check, SQL Default, SQL Index
SQL Dates, SQL Views, SQL Data Types
Windows function
Exploratory Data Analysis
Renaming columns, One-hot-encoding, Normalization, standardization
Data analysis, imputation techniques, Intro to Linear Regression.
Matplotlib
I. Line plot, bar graph, box plot, scatter plot
II. Histogram, Area Chart, Pie Chart, Sub Plots
Seaborn
Machine Learning
Supervised Learning
Linear Regression
Logistic Regression
Decision Tree
Random forest
KNN
SVM
Naive baye's
Unsupervised Learning
Deep Learning
Introduction to deep learning
DL- tensor flow
Neural Networks
DL - Keras
Data Science Career Program at OdinSchool Faculty details
Data Science Career Program at OdinSchool Entry Requirements
- Graduates or Diploma Holders from a recognized university in any discipline.
- Not mentioned
Other courses offered by OdinSchool
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