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Data science has become inevitable in the present day. It has influenced the way we live and work, by helping us make better decisions, solving problems and discovering new advancements. This has led to a surge in the field of data science, so data scientists and analysts are some of the most sought professionals nowadays.
With an abundance of data science course online and offline, people may find it difficult to choose the best. A key factor is the syllabus. Even though the syllabus is more or less the same, one must be prudent to choose the right one.
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What is Data Science Course Syllabus?
Data Science course syllabus usually covers basic and advanced concepts of data analytics, machine learning, statistics, data mining, query language, mathematical foundation and programming languages like Python or R. It prepares individuals to interpret datasets and identify patterns to create predictive models. It includes concepts on cloud computing, big data, natural language processing, and data sentiment analysis.
Entri App’s Data Science Course Syllabus
1: Which of the following algorithms is most suitable for classification tasks?
Programming Fundamentals (Python for Data Science)
- Introduction
- Data Structures
- Functions
- Numpy
- Pandas
- Matplotlib
- SQL Introduction
- SQL Commands
- Conditional Selections & Operators
- SQL Functions
Statistics and Exploratory Data Science
- What is Statistics?
- Dispersion Measures
- Data Distributions
- Sampling
- Hypothesis Testing
- Chi-Square test
- Test for Continuous Data
- Correlation vs Regression
- Exploratory Data Analysis
Machine Learning
- Machine learning Introduction
- Regression VS Classification
- Model Building
- Machine learning Techniques
- Decision Trees
- Ensemble Model Techniques
- Random Forest
- Boosting algorithms
- Optimization Techniques
- Unsupervised Learning
- Association rules
- Clustering
- Dimensionality Reduction
- Deep Learning
Tableau
- Data visualization using tableau
- Basics Of Tableau.
Capstone Projects
- Customer churn Analysis
- Cab fare prediction
- Loan Prediction
- Image Classification
Deployment Models
- Databases
- Flask Api
- Cloud Models
- Kaggle
- Google Cloud
- GitHub
- Docker
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