Learn Data Analysis for your Business

Businesses generate tons of information, but they don’t always know how to make use of it. So they look to masters of big data to make sense of it all. Consider this your team's roadmap to success as data analysts. They'll gain step-by-step guidance as they learn the skills and tools needed to surface business critical information to the organization. You would be mentored by an Industry Expert who has tons of experience as a Data Analyst.

AICTE recommended Internships provide exposure to the real world through a professional mentor's guidance. They ultimately help freshers to stand out in getting a job. You will learn how to apply the knowledge you have acquired during an internship to your future workplaces. In addition to this, it is an excellent learning curve for young graduates and students while meeting new people and making connections in the professional world.
Includes(Topics)
  • Python 3 ,
  • SQL ,
  • Pandas ,
  • NumPy ,
  • Matplotlib ,
  • Seaborn ,
  • SciPy
Duration : 3 Months
Hours: 67

There are 17 Courses in this Specialization

Course

1

Welcome to the Data Analyst Career Path

Start off with an overview of what you'll cover in the Data Scientist Career Path, projects you'll build, and resources you'll benefit from.

Course

2

Getting Started with Data Analytics

Start with a quick introduction to Data Analytics: what it is, how it works, and how it drives data-driven decision making.

Course

3

Python Fundamentals

Learn the fundamentals of Python from syntax to modules.

Course

4

Python Portfolio Project

Use your understanding of Python syntax to sort and analyze data about U.S. medical insurance costs!

Course

5

Data Acquisition

Learn about various methods of acquiring data.

Course

6

Data Manipulation with Pandas

Gain an overview of data manipulation and data analysis with pandas, and introduce Python lambda functions.

Course

7

Data Wrangling and Tidying

Most data scientists spend the bulk of their time preprocessing data. Learn how to do it right.

Course

8

Summary Statistics

Learn about how data analysts use summary statistics to gain insights about data!

Course

9

Hypothesis Testing

Learn how to design and conduct a hypothesis test in Python.

Course

10

Data Visualization

Use data visualization to better explore and analyze your data.

Course

11

Data Visualization Portfolio Project

Use your understanding of data visualization to analyze and plot data about GDP and life expectancy.

Course

12

Communicating Data Analysis Findings

Communication is an important part of your work as a data analyst.

Course

13

Data Analysis Portfolio Project

Use your knowledge of data analysis to interpret data about endangered animals for the National Park Service.

Course

14

SQL for Interview Prep

Build on your SQL knowledge to prepare yourself for data analyst interviews.

Course

15

Analyze Real Data with SQL

Combine everything that you have learned to solve real-world business problems.

Course

16

Data Analyst Final Portfolio Project

Show off your knowledge of data analytics by developing your final portfolio project on a topic of your choice.

Course

17

Next Steps

Congratulations on finishing the Data Analyst Career Path! What will you do next?

Frequently Asked Questions

Frequently Asked Questions