Author : Jyotishman Chowdhury

Published Date : 7/25/2024

How Long Does it Take to Become a Data Scientist- Enrol in Digital Regenesys’ 30-Week course!

Data science requires a solid foundation in mathematics, statistics, and programming. A bachelor’s degree in data science takes four years to complete. The duration of specialised courses, like boot camps or online certifications, takes a few months or a year. You can enrol in the Digital Regenesys’ Data Science course and improve your skills within 30 weeks. This comprehensive course covers all aspects of data science, including Python programming, MySQL, R, and MongoDB. In this article, you will learn how long it takes to become a data scientist, why to become a data scientist, their average salary, etc.

Table of Contents

How Long Does it Take to Become a Data Scientist?

In Digital Regenesys Data Science Course you will learn how to manipulate data, extract insights using Python & Pandas, Data manipulation and analysis with Excel, etc. You can enrol in the course for just R45,344. Check the course’s curriculum below.

Week 1-8: Basic Data Science
Week 1-2	Python Programming Introduction to Python Basic syntax, data types, and variables Control structures and functions
Week 3	MySQL (DBMS) Introduction to databases SQL basics: SELECT, INSERT, UPDATE, DELETE Data modelling and normalisation
Week 4	Math for Data Science Basic statistics and probability Linear algebra and calculus basics for data science
Week 5-6	Excel for Data Science Data manipulation and analysis with Excel Functions and pivot tables
Week 7	R Programming Language Introduction to R Data manipulation with dplyr and tidyr
Week 8	MongoDB (DBMS) Introduction to NoSQL databases CRUD operations with MongoDB
Week 9-12: Business Intelligence Tools
Week 9	Power BI Data visualisation and dashboard creation Connecting and transforming data sources
Week 10	Tableau Advanced data visualisation techniques
Week 11-12	Integrating learned skills in practical projects Hands-on exercises with real-world datasets
Week 13-20: Advanced Data Science
Week 13	Machine Learning & Artificial Intelligence Introduction to machine learning Supervised and unsupervised learning algorithms
Week 14	Deep Learning Basics of neural networks Building simple deep-learning models
Week 15	Web Development with Flask and Streamlit Introduction to Flask Building data science applications with Streamlit
Week 16	Natural Language Processing Text preprocessing Sentiment analysis and topic modelling
Week 17	Computer Vision Image processing techniques Building image classification models
Week 18	Time Series Analysis and Forecasting Time series data manipulation Forecasting techniques
Week 19-20	Capstone Project I Start working on a comprehensive project that covers data collection, cleaning, EDA, and initial modelling.
Week 21-24: Applied Data Science
Week 21	AWS Cloud Computing Basics of cloud computing Introduction to AWS services for data science
Week 22	Big Data (PySpark + Kafka) Introduction to Big Data Technologies Data processing with PySpark and Kafka
Week 23-24	ML Ops Deploying machine learning models Model monitoring and maintenance
Week 25-30: Final Projects and Career Preparation
Week 25-27	Capstone Project II Completing the capstone project with advanced modelling, evaluation, and deployment
Week 28-30	Career Counselling and Job Preparation Resume building and Job profile optimisation Mock interviews and networking strategies

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Why to Become a Data Scientist?

Becoming a data scientist has several benefits. You will have many job opportunities on this path as the role is in high demand. As a data scientist, you can work in various fields like healthcare, finance, or tech. Data scientists play a significant role in solving complex problems and making important data-based decisions. Here, you’ll use the latest technology and tools to keep your skills up-to-date. Overall, a career as a data scientist has several opportunities for professional growth and advancement.

Average Salary of Data Scientist

Data scientists’ salaries in South Africa may vary based on their skills, experience, qualifications, and the company they work for. They receive a salary of around R776,325 per year and approximately R47,750 per month. The Entry-level data scientist salary in South Africa starts at around R405,000 per year and reaches R8,400,000 per year with experience. Here, we have given a table comprising designation-wise salaries of a data scientist in South Africa.

Designation	Average Salary Range (Per month)
Data Science Intern	R 7,322
Junior Data Scientist	R 35,612
Lead Data Scientist	R 72,803
Senior Data Scientist	R 76,803

Start your Career in Data Science with Digital Regenesys

Digital Regenesys offers a comprehensive 30-week Data Science Course. The course helps students build data manipulation, analysis, and visualisation skills. In the course, you will learn programming languages like Python and R and tools like MySQL, Power BI, and Tableau. The curriculum covers basic and advanced data science concepts, including big data, Spark NLP, and database management. The course offers live classes, career counselling, and an internationally recognised certification. The course is available in the USA, South Africa, and India.

Data scientists have many career opportunities. The Digital Regenesys Data Science Course provides comprehensive knowledge and practical experience in various data science tools and techniques. This course covers everything from basic programming and databases to advanced machine learning and large data technologies. Whether you’re a fresher or enhancing your skills, this course offers a better and more effective path to becoming a skilled data scientist.

FAQs on How Long Does It Take To Become A Data Scientist

1) How long does it take to become a data scientist?

A bachelor’s degree takes around four years, while specialised courses like boot camps or online certifications can take a few months. However, the Digital Regenesys Data Science Course takes 30 weeks.

2) What skills are required to become a data scientist?

The skills required to become a data scientist are proficiency in programming languages (Python, R), knowledge of databases (SQL, MongoDB), understanding of mathematics and statistics, and familiarity with data visualisation tools (Power BI, Tableau).

3) What is the Digital Regenesys Data Science Course?

It is a 30-week comprehensive course covering all aspects of data science. The course includes Python programming, MySQL, R, MongoDB, machine learning, deep learning, and large data technologies.

4) What is the average salary of a data scientist in South Africa?

The average salary is around R776,325 per year. Entry-level data scientists start at about R405,000 annually; with experience, it reaches up to R8,400,000 annually.

5) Why should I become a data scientist?

Data scientists are in high demand. The field offers many job opportunities and high salaries. The role includes solving problems, making important data-driven decisions, and working with the latest technologies. It provides both career flexibility and growth.

6) What is included in the Digital Regenesys’ Data Science Course curriculum?

The Digital Regenesys Data Science Course covers Python programming, MySQL, R, MongoDB, machine learning, deep learning, web development, natural language processing, computer vision, time series analysis, AWS cloud computing, big data technologies, and MLOps.

7) What is the fee for the Digital Regenesys Data Science Course in South Africa?

The Digital Regenesys Data Science Course fee is R45,344 for the 30-week curriculum. The course offers comprehensive training in all aspects of data science.

8) What kind of support does Digital Regenesys provide during the course?

Digital Regenesys offers live classes, career counselling, job profile optimisation, mock interviews, and an internationally recognised certification after course completion.

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