Here are the top 7 data science certification courses to do in September

Data science is becoming increasingly important as we go deeper into the realm of AI and technology, which means the need for skilled data scientists is also increasing. Because of our dependency on data for almost everything, it is currently one of the top occupations. A data science certification can help you stand out in the competitive industry.

Here are the top big data and data science certifications:

1. DataCamp Professional Certificates

DataCamp is the only program focusing on life-long learning, unlike the other certifications. Choose from more than 340 interactive courses and 90 real-world projects. DataCamp has been utilized by over 350,000 students and 1,600 businesses.

This program provides immersive learning and includes the following features:

Interactive exercises

Brief videos

Coding sessions in real-time

Certifications for various job paths

All degrees of ability

The Data Analyst (with R or Python) professional path requires roughly 60 hours.

The Data Scientist (with R or Python) professional path takes about 90-100 hours to finish.

2. IBM Data Science Professional Certificate

This IBM Professional Certificate is intended for people who want to work in data science or machine learning and want to get relevant skills and expertise. It is available to everyone, and no prior computer science or language programming knowledge is required. Open-source tools and libraries, databases, Python, SQL, data analysis, data visualization, predictive modeling, statistical analysis, and machine learning methods are all covered in the nine online courses.

The following are some of the primary features of this certification:

Practical experience with IBM Cloud

Real-world data sets and real-world data science tools

IBM's digital badge

A beginner's level

10 months, 5 hours each week

3. Data Science Certification Course using R

This self-paced Professional Certificate will assist you in developing the skills necessary to deal with real-world data analysis difficulties. This course covers the concepts of K-means clustering, Decision Trees, Random Forests, and Naive Bayes.

The following are some of the primary features of this certification:

Case studies include unsupervised learning, recommender engines, deep learning, and many more topics.

R programming environment

Online Live Classes

Timeframe: 5 weeks

4. Python Certification Training for Data Science

This top certification is intended for professionals who want to design and deploy end-to-end solutions based on machine learning and advanced analytics. It involves understanding data science ideas from the basics, beginning with the foundations and progressing to more complex subjects. Some key topics covered are data analysis, data preparation, deep insights, visual analytics, and machine learning.

Here are some of the essential features of this certification:

Applications in which Python is used

Expert advice on Python Scripts on UNIX/Windows Values, Types, Variables, Operands, and Expressions

Online Live Classes

Timeline: 7 weeks

5. Business Analytics Specialization

This certification, produced in collaboration with the University of Pennsylvania's Wharton School, provides a fundamental introduction to big data analytics. It is aimed primarily at business professionals such as marketing, operations, human resources, and finance. It is an introductory course that requires no prior knowledge of analytics.

The following are the primary features of this certification:

Customer analytics, people analytics, accounting analytics, operations analytics, and business analytics capstone are all covered in this five-part course.

Data-driven strategic decisions

Making use of real-world data sets in business strategy

A beginner's level

Schedule adaptability

6 months, 3 hours each week

6. Advanced Business Analytics Specialization

The University of Colorado Boulder offers this certification, bringing academic specialists together and experienced practitioners. It focuses on real-world data analytics that may help firms expand, boost profitability, and maximize shareholder value. You will learn how to extract and manipulate data with SQL code, run statistical techniques for descriptive, predictive, and prescriptive analysis, and analyze and present analytic results.

The following are the primary features of this certification:

Business conceptual models and basic database models

Create decision-making models.

Analytic Solver Platform (ASP) software and basic Excel

level intermediate

5 months, 3 hours every week

7. Advanced Analytics in R For Data Science

This certification is available through Udemy and is typically one of the most popular courses. Take Your R&R Studio Experience to the Next Level. GGPlot2, Data Science, Data Analytics, Statistical Analysis in Business.

This course is intended to prepare you for the real world and includes the following features:

How to get data ready for R analysis

How to use R's median imputation function

How to use date-time operations in R

What are lists, and how do you utilize them?

Application family of functions

How to replace loops with apply(), lapply(), and sapply()

How to use apply-type functions to stack your functions

Beginner or Intermediate level: Explain how to stack the apply(), lapply(), and sapply() methods within one another.

Time: six hours