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:
- Adaboost
- Gradient 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
- Gradient boosting
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