Data Analytics Training

Data Analytics Overview

Data Analytics course curriculum Aerofolic provides extensive knowledge of Data Collection, Extraction, Cleansing, Exploration, and Transformation. Alongside the Data Mining, Data Integration is done with feature Engineering to build Prediction models for Data Visualization and deploying the solution.

Data Analytics training skills and tools that are emphasized in the course are Statistical Analysis, Text Mining, Regression Modelling, Hypothesis Testing, Predictive Analytics, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Predictive Modelling, R Studio, XLMiner, Tableau, Spark, Hadoop, Minitab, programming languages like R and Python.

Data Analytics Training Course Details

Our data analytics program aims to build a successful career and intended to give a complete understanding of Data Analytics concepts. We offer you to get practical, hands-on experience and ensure a hassle-free execution of real-life projects in data Analytics.

Data Analytics Training modules
  1. Introduction To Python
  2. Working With Libraries (NumPy,Pandas,Matplotlib,Seaborn,SciPy, Sklearn In Python)
  3. Work With Seaborn Library (High-Level Interface For Drawing Attractive And Informative Statistical Graphics) In Python
  4. Introduction To SciPy And Sklearn Libraries In Python
  5. Statistical Analysis & Hypothesis testing
  6. Linear and Logistic Regression
  7. Discrete Probability Distribution
  8. Advanced Regression and Multinomial Regression Analytics, Associate rules and Recommender system
  9. Dimension Reduction
  10. Machine Learning Classifiers - KNN
  11. An Introduction To Data Visualization
  12. Tableau Products And Usage
  13. Connecting Tableau With Multiple Sheets And Data Sources
  14. Tableau Filters And Visualization Interactivity
  15. Maps And Images In Tableau
  16. Advanced Charts In Tableau And Analytical Techniques
  17. Tableau Integration With Other Tools
  18. Data Collection
  19. Data Cleansing / Exploratory Data Analysis / Feature Engineering
  20. Data Mining
  21. Introduction To Big Data
  22. Hadoop And Its Components
  23. Classifier - Naive Bayes
  24. Decision Tree And Random Forest
  25. Black Box Methods
  26. Text Mining
  27. Natural Language Processing
  28. Projects

Data Analytics Training Benefits

  • Internship-Live Project Training
  • Placement Assistance
  • Experience Certificate
  • Training from Industry Expert
  • Flexible Learning Program
  • Industry Exposure

Aerofolic Data Analytics Training Additional Benefits

Reume Building

Resume Building

Refining and polishing the candidate’s resume with insider tips to help them on their dream job.

Interview Preparation

Interview Preparation

Preparing candidates to ace HR and Technical interview rounds with model interview questions and answers.

Mock Interviews

Mock Interviews

Preparing candidates to face interview scenarios through 1:1 and panel mock interviews with industry veterans.

Interview Opportunities

Interview Opp

We provide placement assistance until you get placed.

Data Analytics Training Tools and Frameworks Covered


Python Programming


Phython Programming

IPython



NumPy


NumPy

Jupyter


Jupyter

Pandas



Pandas

Data Analytics Training In-House Projects for Internship


Natural Language Processing

NLP.Jpg

Image Processing




Predictive Analysis


Predictive Analysis.jpg

Machine Learning


Machine Learning

Deep Learning



Deep Learning

Data Analytics Training Eligibility

  • Fresher’s from any stream with good analytical and logical skills.
  • Professionals or fresher’s who are really serious about making a career in Data Analytics.
  • Individuals from any domain who possess logical thinking about mathematical and analytical skills.
  • People who are working on business intelligence tools, data warehousing and reporting tools.
  • Statisticians, Economists, Mathematicians, Software programmers, Business Analysts, Six Sigma Consultants and Digital Marketing professionals

Data Analytics Training

Mode: Online Training
Duration: 6 month to 1 year
Course Fee : 1,10,000

Mode: Classroom Session
Duration: 6 month to 1 year
Course Fee : 1,35,000