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 covered entire modules in time. The assignments given were so helpful. Really I thank to him.

Amar Koli

Good coaching and well organized classes. The materials provided were too helpful. I loved the time I had been there.

Aravind Raj

I completed my course from Apponix. Exceptionally good trainer. He is a real genius with excellent teaching methodologies.

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?

Data science is a multi-disciplinary field that make excellent use of Machine Learning, Cluster Analysis, Data Mining, and Visualization.
Excellent and most prominent tool for processing data: Data Mining, Big Data Processing, Data Visualization, Data Extraction. Data Wrangling, Data Exploration and so on.
Highest paying career with perennial opportunities
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.
2018 showed an increase of 417% demand forData Science professionals in India.
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.

Data Science Training in Bhopal

Professional experts as trainers with no less than 10 years of experience
Excellent practical training to placement assistance are provided here by industry experts.
We adopt the best possible ideas to the curriculum tracking the changing trends and requirements of the industry.

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 Scientist is considered to be the sexiest job in the 21st century. According to payscale.com, in India, average salary a data scientist earn is around 9-10 lakhs. In Us and other countries abroad, that show high leap in technological advent, the salary margin shifts between $85,000 - $170,000.

Career after Data Science training