# Data Science Course Online training

Onlinetutorials.today provides online data science training course from experienced faculty.

Here is the course syllabus:

Introduction data science:

• What is data science
• What is AI
• What is machine learning
• What is deep learning

Statistics:

• Probability
• Types of statistics
• Descriptive statistics
• Measures of central tendency
• Measures of spread
• Central limit theorem
• Distribution
• 7 Different types of distributions:
• Normal Distribution
• Binomial distribution
• poisson distribution
• Probability density functions
• Characteristics of normal distribution
• Sampling
• Sampling methods
• Inferential statistics
• P value and Z value
• Hypothesis testing (t-test, f-test, chi-square)
• Analysis of variance
• Measures of relationship:
• Correlation
• Regression
• Co-variance
• Associations
• Odds Ratio

Introduction to R-Programming

• R and R-studion installation
• Data types and data structures
• Arithmetic and logical operations
• Conditional statements
• Loops
• Packages and functions in R
• Data Frame operations
• Getting data into R from flat files
• Connecting to databases
• Data Inspection and Manipulation
• Data wrangling an data munging

EDA(Exploratory data analysis and visualization)

• Summary statistics
• Data distributions
• Data transformations
• Outlier detection and management
• One dimensional chats
• Charts an Graphs
• Histogram
• Barchart
• Two dimensional
• Scatter plots
• Bar charts
• Box plots
• Multi-dimensional plots
• Bubble charts and word clouds
• Inference and Variable selection

Data Pre-processing:

• Data types an conversions
• Binning and Normalization
• Min-max scaling
• Imputation
• Dimensionality reduction

Machine Leaning Online Training:

Introduction

• Types learning
• Supervised learning
• Unsupervised learning
• Reinforcement learning

Supervised learning Algorithms:

Regression:

• Linear Regression
• Simple liner Regression
• Variable Selection
• Model Development
• Gradient descent approach
• Regression Metrics
• Ridge regression
• Lasso regression
• Elastic Net Regression

Classification:

• Logistic Regression
• SVM
• Decision Trees
• Random Forest
• Naive Bayes
• KNN
• Classification Metrics
• Confusion matrix
• Precision
• Recall
• F1-score
• cross validation
• parameter tuning

Bagging:

• Ensemble methods
• Random Forest

Boosting:

• Xgboost

Unsupervised Algorithms

• Clustering Algorithms
• K-means
• Hierarchical Clustering
• Dimenationality Reduction
• SVD
• LDA
• PCA -Principal component analysis

Reinforcement learning

• Q-learning

Working Text Data

• Pre processing
• Tokenization
• Stemming
• Lemmatising
• POS Tagging
• Count vectizer
• Bag of words
• TF-IDF approach
• Sentiment analysis

Time series analysis

• Introduction
• Stationary and non stationary data
• Trend, Seasonality, Randomness
• Moving Average Method
• Exponential smoothing
• ARIMA

Machine learning with Python

• Introduction to Python
• Variables
• Operators
• Loops
• Functions
• Lists
• Tuples
• Dictionaries
• List comprehensive
• Numpy:
• Scipy:
• Pandas:
• Matplotlib:
• Scikit-learn:

Introduction to Deep learning:

• Neural Network
• Types of networks
• Feed forward network and Back forward network
• CNN
• RNN
• LSTM

Recommendation systems:

• Matrix factorization
• collaborative filtering
• user based collaborative filtering
• item based collaborative filtering

Association rules

• Market Basket Analysis
• Apriori

FAQ’s

Why data science ?

Data science is the sexiest job for the 21st century. More job openings with less crowded. Start leaning

Who is Data scientist ?

More than program and more than a statistician

What is average salary for data scientist ?

\$102,000 in USA

How to become a data scientist ?

you need to learn statistics and programming

Is there any free resources to practice data science online ?

Is there any data science learning sources ?

Analyticsvidhya, Towards datascience, kaggle, youtube videos are good to learn data science. If you are registered for this course, you will learn data science in 3 months.

How to use kaggle for data science ?

I am a fresher, Can i learn data science ?

Yes

I am experienced developer. Can i change my carrier to data science ?

Yes.

What is the course Fee ?

Rs.49999 or \$705

Is it online course ?

Yes

Do you have any classroom training ?

No

What is Refund policy ?

We don’t have any refund policy, First we will provide the demo class, If you are interested you can enroll for online classes.

What is duration of course ?

90 Days

What is Class Timings ?

Daily 60 mints