Data Science Course Syllabus

1: Introduction to Data Science

Introduction ToDataScience
Real Time UseCasesOfDataScience
Who is a DataScientist?
Github Tutorial
Skillsets needed for DataScientist
6 Steps to take in 3 Months for acomplete transformation to DataSciencefrom any other domain
Machine Learning-Giving ComputersThe ability to learn from data
Supervised vs Unsupervised
DeepLearning vs Machine Learning
Link to get Free Data to Practice?
Some Great self Learning DataScience Resources(Books,Tutorials,Vedeos,Papers)
Software Installation

2: Python Programming

Introduction To Python
“Hello Python Program” in IDLE
Jupyter Notebook Tutorial
Spyder Tutorial
Introduction to Python
Variable,Operators,DataTypes
If Else,For and While Loops
Functions
Lambda Expression
Filter, Map,Reduce
Taking input from keyboard
HANDS ON-
INTERVIEW QUESTION DISCUSSION

3: Python Advanced Topics

NumPy
Create Arrays
Array Item Selection and Indexing
Array Mathematics
Array Operation
HANDS ON
Pandas
Introduction to Pandas
Series
Series indexing and Selection
Series Operation
Introduction to Pandas
Data Frames
Data Collection from csv,json,html,excel
Data Merging,Concatenation,join
Group By and Aggregate Function
Order By
Missing Value Treatment
Outlier Detection and Removal
Pandas builtin Data Visualisation
HANDS ON
INTERVIEW QUESTION DISCUSSION

4: Visualisation-matplotlib, seaborn

Line Plots
Scatter Plots
Pair Plots
Histograms
Heat Maps
Bar Plots
Count Plots
Factor Plots
Box Plots
Violin Plots
Swarm Plots
Strip Plots
Pandas BuiltinVisualisation Library
HANDS ON
INTERVIEW QUESTION DISCUSSION

5: Statistics

Descriptive vs Inferential Statistics
Mean,Median,Mode,Variance,Std. dev
Central Limit Theorm
Co-Variance
Pearson’s Product Moment Correlation
R - Square
Adjusted R-Square
Spearman’s. Rank order Coefficient
Sample vs Population
Standardizing Data(Z-score)
Hypothesis Testing
Normal Distribution
Bias Variance Tradeoff
Skewness
P Value
Z-test vs T-test
The F distribution
The chi-Square test of Independence
Type-1 and Type-2 errors
Annova
HANDS ON
INTERVIEW QUESTION DISCUSSION

6: Introduction to Machine Learning

Introduction to Machine Leaning
Machine Learning Usecases
Supervised vs Unsupervised vs Semi-Supervised
Machine Learning process Workflow
Training a model
Validating results
Overfitting vs Underfitting
Ordinal vs Nominal data
Structured vs unstructured vs semi-structured dat
Intro to scikitLearn
HANDS ON

7: Supervised

Regression:
Regression Vs Classification
Linear regression
Multivariate regression
Polynomial regression
Multi-Colinearity,
Auto correlation
Heteroscedascity

8: Hands On

Classification:
KNN
Svm
Decision Tree
Random Forest
Performance tuning of Random Forest
Naive Bayse
Overfitting Vs Underfitting
Hands On

9: Validation

Classification Report
Confusion Report
ROC
RMSE
MSE
Cross validation
Hands On

10: Unsupervised (Clustering & PCA:)

Kmeans
How to choose number of K in KMeans
Hands on
PCA
Hands on

11: Ensemble

What is Ensembling
Types of Ensembling
Bagging
Boosting
Stacking
Random Forest
Important Feature Extraction
XGBoost
HANDS ON

12: NLP

Tokenizer
Stop Word Removal
Tf-idf
Document similarity
Word2vec Model
t-SNE visualisation
Sentiment Analysis
HANDS ON

13: Deep Learning

Basic of Neural Network
Type of NN
Cost Function
Tensorflow Basics
Hands on Simple NN with Tensorflow
Image classification using CNN
HANDS ON

Project 1: Sale Prediction

In this project, we will build a predictive model to find out the sales of each product at a particular store.

Project 2: Predict Taxi Destination

In this project, we will build a predictive framework that is able to infer the final destination of taxi rides based on their (initial) partial trajectories. The output of such a framework will be the final trip's destination employee's attributes change over time.

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Student Review

Sagar

The trainer provided his best in the training. It really enhanced the skills in us. Many questions and projects were made to do.

Amar Koli

Excellent practical classes. Many live projects were given to get experienced with. The training here removed the fear to the subject and anxiety of the job. Thanks a lot sir.

Aravind Raj

I will definitely suggest Apponix. It was one of the best decisions I have ever made. Brilliant training. Everything they provided were the best- from infrastructure and labs to the faculty.

Jasleen Ahuja

i completed SEO course here .Akash sir is an excellent trainer! I had a great experience learning here!

Shoba

Apponix the one of the best institute for Digital Marketing and SEO. The way of teaching by Akash sir is fantastic, here i learned many things.

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Why to choose Data Science?

28-35% of boost in the field since 2020
Expecting massive recruitment
Handsome salary ranges from around 3.5 to 10 lakhs per year
Majority of the firms are moving to be insights-drive which increase the trends in and around big data, AI, cloud computing etc. This enhancement of data maturity heightened the need of data science.
Along with analysing and comprehending the data trends, a data scientist has to interpret and decipher the laws in an appropriate and approachable manner for the business tycoons, and also formulate advance solutions over it.
Huge investment of MNCs in Big Data and AI sectors which demands greater implementations of Data Science

Data Science Training in Bhubaneswar

Apponix offers you the best learning experience in Data Science with Python.
We offer an unbeatable platform for forming strong theoretical and practical knowledge with immense practical experience.
The training enables the trainees to meet the standard of the industry and future challenges

FAQs

What will learn through this training?

Testing analysing and managing data of organizations
Predicting breakdowns using various tools
Offering best solutions and best possible innovations
Sampling techniques
Installation and working with analytical tools
Deploying cluster for analysis

What are the job roles waiting?

Business Analyst
Data Engineer
Data Scientist
Data Analyst
Data Visualizer

Which are the fields offering career opportunities for Data Scientists?

AI
E-commerce
Travel & Tourism
Banking
Telecommunications
Health
Education
Finance

Which all reputed firms will hire Data analytics professionals?

IBM
Dell
Microsoft
Infosys
Wipro
Amazon
Flipkart
Snapdeal
TCS and so on,

What is Apponix Certified Professional Certificate?

After completion of the course we will conduct a exam, and if you get 80% or more in the exam you will get Apponix Certified Professional Certificate.

Who is my instructor?

Your instructor is a 15+ years experienced graphic designer, Animator & multimedia expert.

How much is course Fees?

Please call us to get best discounted corse fees

Can I pay course fees in installments?

Yes,definitely you can pay in installments.

What are the assistances can I expect from you?

Resume preparation,Interview Prepration and Certification guidance

Why should I choose Apponix?

Most experienced professional as trainers.
Continuous tracking of the needs of different industries and prepares the trainees for the upcoming trends in markets and technologies.
Enables the aspirants be prepared for the future interviews and tests.
150+ tied up companies as client to assist in placement
5 star rating and 98% student satisfaction
Flexible timings and study friendly infrastructure
Own study materials
Customised syllabus
Resume preparation

Do I get certificate after completion of the course?

Yes all our students get course completion certificate.

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Data Science Course Objectives

Data Science Course Syllabus

1: Introduction to Data Science

2: Python Programming

3: Python Advanced Topics

4: Visualisation-matplotlib, seaborn

5: Statistics

6: Introduction to Machine Learning

7: Supervised

8: Hands On

9: Validation

10: Unsupervised (Clustering & PCA:)

11: Ensemble

12: NLP

13: Deep Learning

Project 1: Sale Prediction

Project 2: Predict Taxi Destination

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Salary expectation after completing course

Data Science is one of the most demanding and fastest growing fields with huge need for professionals required. Minimum annual salary of a Data Scientist can be estimated to around 9-10 Lakhs per year. And this will be increasing considerable in coming years undoubtedly.

Career after Data Science training