technifyed

Edureka via Coursera Learning path or series

Applied Data Analytics

Overview

Begin your journey with the Applied Data Analytics Specialization, designed for both beginners and professionals. This program equips you with essential skills in Python, SQL, and Power BI to analyze, visualize, and extract actionable insights.

Explore key concepts like data visualization, SQL queries, predictive modeling, and building dashboards. Through hands-on projects and case studies, gain the expertise to build predictive models, create dynamic dashboards, and solve business challenges effectively.

The specialization comprises four comprehensive courses:

Applied Data Analytics with Python and SQL: Master data manipulation, querying, and analysis using Python and SQL. Python for Data Visualization and Analysis: Learn to create impactful visuals and perform exploratory data analysis using Python libraries like Matplotlib, Seaborn, and Plotly. Predictive Modeling with Python: Develop and optimize machine learning models for actionable insights. Advanced Analytics with Power BI: Leverage Power BI to create interactive dashboards and reports to derive actionable insights for making data-driven decisions.

By the end of this program, you’ll be ready to solve complex data challenges, deliver impactful insights, and advance your career in analytics. Join us to unlock the full potential of data and make meaningful contributions in any industry!

Courses in this learning path or series 4

  1. Applied Data Analytics with Python and SQL
  2. Python for Data Visualization and Analysis
  3. Predictive Modeling with Python
  4. Advanced Analytics with Power BI

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • Self-paced: start any time.
  • A clear syllabus (4 parts) you can see before you start.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Edureka is in Tier 4: commercial training companies and platform-made courses of our institution ranking (56/100).

Similar courses

Compare these

Harvard University · YouTube

CS50's Introduction to Databases with SQL

This is CS50’s introduction to databases using a language called SQL. Learn how to create, read, update, and delete data with relational databases, which store data in rows and columns. Learn how to model real-world entities and relationships among them using tables with appropriate types, triggers…

Free video8 videos, 11 hours

Harvard University · edX

CS50's Introduction to Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming.

Free to audit12 weeks, 5 - 14 hours per week

Harvard University · edX

CS50's Introduction to Programming with Python

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

Free to audit10 weeks, 3 - 6 hours per week

Harvard University · edX

CS50's Web Programming with Python and JavaScript

This course picks up where CS50 leaves off, diving more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.

Free to audit12 weeks, 6 - 14 hours per week

Enter your email and the official page opens. Phone is optional.