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Comprehensive Data Analysis Training Program To Become a Data Analyst Pro

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Objectives

This Data Analysis Training Course equips participants with skills in data analysis, visualization, statistical modeling, and machine learning.

Covering Python, SQL, R, Power BI, Tableau, AWS, and Azure, the course includes hands-on sessions for practical application. Learn to analyze complex datasets, create interactive dashboards, build predictive models, and manage data integration, driving data-driven decisions in your organization.

Course Outcome

Overview of Data Analysis Methodologies
Techniques for Independent Analysis of Large Datasets using Python and SQL
Data Visualization and Dashboard Development with Power BI
Statistical Modelling and Optimization with Python
Quantitative Analysis and Data Management with SQL
Advanced Data Visualization Techniques with Tableau
Predictive Modelling and Machine Learning with Python
Data Consolidation and Periodical Reporting with AWS
Cloud Concepts and Data Integration with Azure
Advanced Data Analysis Techniques with R
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Why Mazenet?


  • Expert Faculty

    Our Faculty comprises of 300+ SMEs with many years of experience. All our trainers possess a minimum of 8+ years of experience.

  • Proven Track Record

    We have served over 200+ global corporate clients, consistently maintaining a 99% success rate in meeting training objectives for 300+ technologies with quick turnaround time.

  • Blended Learning

    We provide course content over any platform that our clients prefer. You can choose an exclusive platform or a combination of ILT, VILT, and DLP.

  • Learning Paths

    The learning paths are very defined with clear benchmarks. Quantitative assessments at regular intervals measure the success of the learning program.

  • Case Study

    We have amassed over 10,000 case studies to support training delivery. Candidates will be trained to work on any real-time business vertical immediately after the training.

  • 24*7 Global Availability

    We are equipped to conduct training on any day, date or time. We have delivered training pan India, Singapore, North America, Hong Kong, Egypt and Australia.

Delivery Highlights

  • Customized Training Modules

    Training programs are highly flexible with module customizations to suit the requirements of the business units.

  • Certification

    The training can be supplemented with appropriate certifications that are recognized across the industry.

  • Multi-language Support

    Course content can be delivered in English, Spanish, Japanese, Korean or any other language upon request.

  • Personalized Training Reports

    Candidates are assessed individually at regular intervals and are provided unique learning suggestions to suit their learning calibre.

  • Industry-Oriented Training

    Industry-oriented training, completing which, candidates can be immediately deployed for billable projects.

  • Diverse Training Platforms

    Choose from Instructor-Led Training, Virtual Instructor-Led Training, Digital Learning Platform and Blended Training platforms

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Course Preview

  • Overview of data analysis methodologies
  • Techniques for independently analyzing large datasets.
  • Identifying trends, gaps, and patterns in complex data sets using Python and SQL

  • Principles of data visualization for supporting business objectives
  • Developing analytics dashboards, reports, and visualizations using Power BI
  • Hands-on session with Power BI for dashboard creation

  • Creating statistical and optimization frameworks using Python. Python libraries such as numpy, pandas, sklearn, pytorch, keras, and scipy.
  • Techniques for improving processes, products, or profits.
  • Hands-on session with Python libraries for statistical modelling.

  • Performing quantitative or statistical analysis using SQL
  • Data mining, data management, and data transformation techniques using SQL.
  • Hands-on session with SQL for data analysis and management

  • Advanced data visualization techniques for complex datasets using Tableau.
  • Incorporating interactivity and dynamic elements into visualizations
  • Hands-on session with Tableau for advanced visualization

  • Introduction to predictive modelling and machine learning concepts using Python.
  • Time series forecasting, clustering, classification, and regression using machine learning algorithms in Python.
  • Hands-on session with Python libraries for predictive modelling.

  • Analysing and consolidating data from various sources using AWS services
  • Producing periodical reports utilizing various data sources
  • Hands-on session with AWS for data consolidation and reporting

  • Introduction to cloud computing concepts with Azure
  • Integrating data from cloud and on-premises sources using Azure services
  • Hands-on session with Azure for data integration

  • Advanced data analysis techniques for complex scenarios using R Programming
  • Data Structures, Charts, and Functions in R Programming.
  • Hands-on session with R for advanced analytical techniques