Data Analytics using Python
Business Analytics Program
Data Analytics using Advanced Excel
ETL & Data Warehousing
Data Analytics using Python
This training gives you the exact and thorough Analysis of Data where you can play with the data from data sets where any users can explore data, estimate statistical models, and perform statistical tests. An extensive list of descriptive statistics, statistical tests, plotting functions, and result statistics are to be studied for different types of analytical data. Now this synthesis is done through Python programming by some libraries (with or without) where data can be captured and serialized on analytical sets.
Python is heavily utilized to script as well. This training will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform statistical analysis and to create meaningful data visualizations.
Key Takeaways
Interactive learning
Audio visual program
Voice caption with clear narrations
Practical lab through Jupyter notebooks
One industry based project
Lifetime Access with the Trainer
Skills Covered
Data Exploration
Data Sets
Python Programing Basic
Advance Python Series
Some Python Libraries
Data Visualization
Mathematical Sets
Statistical Analysis
Business Analytics Program
This training gives you the understanding of large collections of business data used to help an organization make decisions by data warehousing, dimensional modelling, bigsized data analytics methods, visualization tools and techniques, and it introduces topics such as data mining and predictive analytics. Business analytics takes a data-driven approach to the world of business, using statistics and data modeling to develop new business insights. Simple statistical principles to advanced analytics and predictive modeling techniques are discussed in this Business Analytics training. It will assist you in acquiring comprehensive data science expertise in data visualization, descriptive analytics, and predictive analytics in order to make more informed business decisions.
Key Takeaways
Interactive learning
Data Visualization
Cloudera Data Lab
One industry based project
Lifetime Access with the Trainer
Skills Covered
Data Warehouse
Large Data Sets
Any Language for Data Analysis like Python, Java etc
Big Data technology
Map reduced
Data Visualization
Data Analytics using Advanced Excel
This training gives you the analysis of data with MS Excel or Spreadsheet charts in which the ability to analyze data is a powerful skill that helps you make better decisions. Microsoft Excel is one of the top tools for data analysis and the built-in pivot tables are arguably the most popular analytic tool. Recent upgrades to the Excel spreadsheet enhance your ability to analyze large amounts of data. With powerful filtering, sorting, and search tools, you are able to quickly and easily narrow down the criteria that will assist in your decisions. This teaching will teach you how to build and apply data-driven predictive models. You’ll learn how to quantify and apply the most common uncertainty measures in the market, such as classification error rates, entropy of knowledge, and confidence intervals for linear regression, to real-world examples.
Key Takeaways
Pivot Chart
Excel Advanced Tool Features
Access to Office 365 or PRO Excel or Spreadsheet
Real Time based project
Lifetime Access with the Trainer
Skills Covered
Basic Office 365/ Office Tools
Advance Excel Tools
Mathematical Features and options of Excel
Math Summations Functions
Concatenate/SUmIFs
V/HLookup Functions
ETL & Data Warehousing
This training understands ETL i.e., Extract Load Transform data from Databases into a unified data warehouse or we can say into Data lake for accessible and reliable analysis, all without writing and maintaining custom ETL scripts. This does not need such programming to know but you need good conceptual business logic in where you can modify the data finally loading it into warehouse boundary. Here Copying MySQL data into a data warehouse improves query performance and also enables the generation of custom real-time reports and dashboards or user defined experiences. Throughout the training, you’ll apply what you’ve learned by creating prototype data warehousing architectures and dimensional data structures to help reinforce the best practices and techniques covered. To keep your data warehouse up to date, you’ll learn how to coordinate and design your Extraction, Transformation, and Loading (ETL) capabilities.
Key Takeaways
Data lake and Data Warehouse.
Strong mind set of Business Logic
Play with Data Wrangling.
Data Tools like PowerBI, Informatica etc
Concept of Data extract and transform and loading.
Real Time based project
Lifetime Access with the Trainer
Skills Covered
Data Wrangling
ETL Tools like PowerBI, Informatica (optional)
Tableau (Optional)
MySql database
Database Design
UML
ETL Testing
Drag and Drop (Optional)