Data Science & Data Analytics
“Data analytics is the future, and the future is NOW! Every mouse click, keyboard button press, swipe, or tap is used to shape business decisions. Everything is about data these days. Data is information, and information is power.”- Radi, data analyst at CENTOGENE
Accredited by
NSDCA
Flexible Learning
In-centre/Hybrid training
Practical Learning
Hands-on experience
Learn from
Industry Experts
Latest Tech
Up-to-date knowledge
Course objective
Data Science
Data Science is about utilizing different branches to come up with an effective way to develop creative ideas that help in building business and daily useable product values by utilizing the data. Python is the market’s most popular language nowadays and it works maturely with Data Science to achieve the goal of Data Scientist, who is responsible for processing raw information to extract insights and understand the advanced capabilities we can build.
Data Analytics
Data analytics is a systematic process of transforming an organization’s data into statistical form and these data are analyzed with analytic tools to extract some information. Understanding the implementation of Data Analytics in E-government, Banking sectors, Healthcare R&D, Financial sectors, Retail sectors, Supply chain, etc. To introduce the proficiency to understand the implementation of Data analytics in different divisions to solve numerous complex problems
related to the data. Get trained to be a skilled analyst from BIGLEARN
Key Topics Covered
Data Science
Using Python
- Introduction to Data Science
- Overview of Python Programming
- Exploratory Data Analysis(EDA)
- Data Visualization
- Data Distribution & Correlation
- Regression Analysis
- Clustering – Hierarchical &K- means
- Classification – KNN, Naive Bayes
- Decision Tree, Random Forest
- Text Mining, Word Cloud
- Dimension Reduction, Association
- Rule mining
- Forecasting/ Time Series
Using R
- Introduction to Data Science
- Basics of R programming
- Interpret Dataset with packages
- Fundamentals of statistics and probability
- Data Visualization
- Data Distribution & Correlation
- Regression Analysis
- Clustering – Hierarchical & K-means
- Classification – KNN, Naïve Bayes
- Decision Tree, Random Forest
- Text Mining, WordCloud
- Forecasting/ Time Series
API & Libraries
Scikit-learn, Numpy, Pandas, Matplotlib,
XIrd, Random, Time, StatsModel, APYORI
Data Analytics
Basic Details
- Introduction to Tableau
- Installing desktop Tableau
- Tableau help and online resources
- Tableau user interface
Features
- File types and data types in Tableau
- Green pills and Blue pills in Tableau
- Import/Export files in Tableau
- Live and Extracts Connections in Tableau
- Working with Excel interpreter
- Pills Conversion
Processing Data
- Converting data into ideal format
- Mapping Data
- Data Filtration and sorting
- Excluding data
- Splitting data fields
- Understanding metadata
- Dealing with missing values
Visualization
- Scatter plot
- Bar plot
- Pie Charts
- Line and Area charts
- Heap Maps
- Crosstabs
- Maps
- Treemaps
- Packed bubble
- Polygon Maps
Data Analytics
Calculations
- Table calculations
- String and Number
- Date and time
- Spatial
- Logical
- Aggregate
- R expression
- Type
- Visualization
- Scatter plot
- Bar plot
- Pie Charts
- Line and Area charts
- Advance Features
- Aggregate and Disaggregate
- Combining multiple data sources
using join, blend, union - Creating Sets
- Formatting pane
- Tooltips
For example mapping of data in
tableau - Making Map view and error sorting
Customizing maps, use of filters
in maps
Scope & Career Opportunities
Who is this Course suitable for ?
- Graduates
- Post Graduates
- Working Professionals
Salary Range Penetration
4 Lakhs to 16 Lakhs
Job Roles
- Business Consultant
- Business Developer
- BI Data Analyst
- Business Intelligence Analyst
- Business Intelligence Manager
- Data Analyst
- Data Architect
- Data Manager
- Database Administrator
Head Office
3rd Floor, 58 A, Villianur Main Rd,
opp. to Darling Digital World,
Pavazha Nagar, Thanthai Periyar Nagar,
Pondicherry, 605010