A certificate course in data analysis

Data Analytics Standard Course

ADMEC Multimedia > Certificate Courses > Data Analytics Standard Course
Eligibility
Graduation Not Required
Duration
02 Months
Training Type
Classroom, Online

Become Data Analytics expert using Python in just 2 months with us. This course covers data analytics using Python including its powerful frameworks and libraries like NumPy, Pandas, and Matplotlib.

It is one of the best short-term Python based data analytics courses for professionals, statisticians, and data analysts. Learn to implement high level concepts of statistics and probability used in Data Analysis using Python and its high-level frameworks.

 Note: This course covers only application of Python for all Data Analysis concepts thus you are advised to be familiar with statistics used in data analysis to take maximum from this course else you can check out our more data analytics courses which are given below.

Tools and Technologies

 

Tools Covered
  • SQL
  • Python
  • PyCharm
  • NumPy
  • Pandas
  • Matplotlib
  • SciPy
Key Takeaways
  • Basics of Statistics – Overview
  • Math Refresher
  • Traditional Data Analysis Basics
  • Diving Deeper into SQL
  • Analysis of Data Using Python
  • Numerical Computing with NumPy
  • Data Manipulation with Pandas
  • Data Visualization with Matplotlib
  • Scientific Programming Using SciPy
  • Project on Data Analytics

A professional is incomplete without a strong portfolio. With lifetime placement assistance, we will take care of your resume & portfolio development too.

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We are sure you are not fully convinced with above content and having many questions. Below we have given few important topics to go through to know more about the eligibility criteria, course structure, projects completed, career options etc.

Please check out our other Data Analytics courses too:

Entry requirements

Although our Python Data Analytics Standard course is for anyone who wants to learn data analytics, yet we expect these things from all the applicants:

  • Knowledge of computer basics and internet
  • Good understanding of Statistics and Probability Theory
  • Knowledge of database system like SQL
  • Experience of data analysis using Excel would be an added advantage

Who can join this course

Anyone who has a strong willingness to be data analytic expert and matches our entry requirements just above given.

Career opportunities

After successful completion of our Python Data Analytics Standard Course, one would be eligible to apply as Python Data Analyst, Business Analyst, and Python Developer.

Final projects and tests

You will be working on a data analytics project from scratch with our experts to develop confidence and at the same time you will have a strong portfolio too.

Course structure and modules

All the topics given here are related to Data Analysis and Visualization. This part explains all of them using Python practically.

Module 1 – Basics of Data Analytics

  • What are the Data Analytics?
  • Uses of Data Analytics
  • Data Analysis vs Data Analytics vs Data Analytic
  • Data Science vs Data Analytics
  • Traditional Data Analysis
  • Tools, Languages, and Libraries for Data Analysis
  • Data and Databases
  • Use of Math and Statistics in Analysis

 Module 2 – Practical Data Analytics

Part 1 – Installation of Tools and Libraries
  • Python
  • Anaconda
  • Jupyter Notebook
  • NumPy
  • Python Pandas
  • Matplotlib
 Part 2 – Data Analytics with Python
  • Basics of Python
  • Python Data Structure
  • Flow Control Statements
  • Object-Oriented Programming
  • Numerical Computing with NumPy
  • Data Manipulation with Pandas
  • Data Visualization with Matplotlib
  • Linear Regression Algorithm
  • Logistic Regression Algorithm
  • Naive Bayes Algorithm
  • K-means clustering
  • Hierarchical Clustering
  • Data Manipulation and Visualization with SciPy

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Facilitating the concept of overall development, we organise various events and activities for 360 degree development of our students.

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