Softspace Solutions

Ignite Your Data-Driven Future

Join Our Data Science Course To Get The Ideal Start

Learn the skills to become a data scientist. Our comprehensive Data Science course covers data collection, analysis, and visualization techniques. Gain valuable experience in statistical modeling and machine learning. Boost your career prospects in the high-demand field of data science.

New Batch Starting: August First Week

About Data Science Course

Get an in-depth understanding of the fundamentals of data science. Learn from our experienced instructors and gain a good insight into this exciting field for a rewarding career. Learn Data Science from scratch through this online data science course and master all the advanced level skills, including Machine Learning and AI, with the help of real time projects and tutorials.
By the completion of this Data Science course, you will have a detailed understanding of Data Science, Data Analytics Tools, and the latest relevant trends in the industry. Check the below course highlights to understand what you will be learning.

What You Will Learn?

In a data science course, you will learn a variety of concepts, techniques, and skills that are essential for working with and analyzing data.

You will learn key concepts such as statistics and probability, Python programming, data manipulation and cleaning, data visualization, machine learning algorithms, exploratory data analysis, data modelling and evaluation, big data processing, ethical considerations, and effective communication of data insights.

Data Science Course Curriculum

  • Introduction of data science
  • Data Science life cycle
  • Tools of data science
  • Introduction to Python
  • Introduction to Machine Learning
  • Introduction to Python Programming
  • Installation
  • Basic operation
  • Variable assignment
  • Functions in python
  • Condition and loops
  • Data structure
  • Array, Object, Exception handling
  • File handling
  • Introduction of NumPy and pandas in Libraries in python
  • Installation of Pandas and NumPy libraries
  • Data visualization libraries like (MATPOTLIB and SEABORN)
  • Introduction to Power BI
  • Introduction to SQL
  • Fundamentals of Structured Query Language
  • SQL Tables, Joins, Variables
  • SQL Functions, Subqueries, Rules, Views
  • Nested Queries, string functions, pattern matching
  • Mathematical functions, Date-time functions, etc.
  • Introduction of Statistics
    Statistical Function like (Mean , Median , Mode)
  • Measure of central tendency, measure of spread, five points summary
  • EDA parts (Data Wrangling)
  • Correlation Matrix
  • Normal Distribution , Skewness , bell curve
  • Probability Distributions, bayes theorem, central limit theorem
  • Introduction to Machine Learning and categories
  • Data Preprocessing
  • Data Preparation
  • Machine Learning types and algorithms
  • Introduction Parameter in Machine Learning and PCA
  • Introduction on Github and Kaggle
  • Implementation of case study
    • Git Lifecycle,  Git commands, Working with branches
    • Github collaboration (pull request), Github Authentication (SSH and HTTP)
    • Merging branches, Resolving merge conflicts, Git workflow
  • Recommendation Engine
  • Housing & Census
  • Object Detection
  • Stock Market Analysis
  • AI Chatbot
professional coding courses
Duration120 Days
Maximum Intake15 Students
Batch Timing7:30 to 9:30 AM
PlatformZoom Meetings

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Data Science

Technologies Covered in Data Science Course

Who can learn Data Science & Data Analytics?

Why choose Softspace Solutions?

Salaries Offered By Top Companies

Experience LevelData Scientist SalaryData Analyst Salary
Entry Level₹5 Lakhs/annum₹3.4 Lakhs/annum
1-4 Years Expereince₹5-6 Lakhs/annum₹4.22 Lakhs/annum
5-9 Years Experience₹10 Lakhs/annum₹6.9 Lakhs/annum

Career Opportunities After Completing Data Science Course

Data Analyst

Data Scientist

Business Intelligence Analyst

Machine Learning Engineer

Data Engineer

Data Visualization Specialist

Quantitative Analyst

Data Consultant

Data Product Manager

Why Choose Data Analyst / Data Science Course?

Variety of Projects Covered in Data Science Course

Your Instructors

Sagar Hedau
Career Counsellor & WordPress Developer

Sagar is a full-stack developer working on technologies like Angular, MongoDb, ExpressJS, NodeJS with a rich experience of 6 yrs in development of full dynamic web applications.

digital marketing course trainers

Rakesh Bhosale
Digital Marketing Trainer & Consultant

Rakesh has been actively involved in the marketing industry for over 13 years across the industries. He specializes in SEO, PPC & Analytics with mastery in Marketing Strategizing.

Data Science Course FAQs​

You will definitely have some doubts about the course and career in data science. Here we have answered some most prominent questions related to the Data Science course.

Data science courses are suitable for individuals interested in working with data, including professionals from various domains such as business, engineering, finance, and healthcare, as well as students pursuing a career in data science.
According to Linkedin, the average data scientist salary is ₹850,000. A mid-level data scientist can earn around ₹110,000 per year with 5 to 8 years of experience. With 1 to 2 years of experience, early-career data scientists can expect to earn around ₹6,11,000 per year.
The duties of a data scientist are not limited to data processing and analysis. Data science roles differ from one company to the next, resulting in overlaps between data science and business analysis. Expert data scientists typically have years of experience and a broad understanding of a variety of industries. Data scientists are one of the highest-paid professionals on the market because of how they collaborate with multiple stakeholders and help the company make critical decisions.

While not mandatory, a solid foundation in mathematics, statistics, and programming can be helpful. Strong analytical thinking, problem-solving abilities, and a curiosity to explore and analyze data are also important.

Data science courses usually cover topics such as data analysis, statistical modelling, machine learning, data visualization, data wrangling, and programming languages commonly used in data science like Python or R.

Prerequisites can vary depending on the course, but some courses may require a basic understanding of statistics and programming concepts. It’s advisable to check the specific prerequisites mentioned by the course provider.

Yes, there are many online platforms and universities offering data science courses that can be taken remotely. Online courses provide flexibility in terms of scheduling and learning at your own pace.
Data science skills are in high demand across industries. After completing a data science course, you can pursue career paths such as data analyst, data scientist, machine learning engineer, or data engineer, depending on your interests and specialization.

The duration of data science courses can vary. It can range from a few weeks for introductory courses to several months or even a year for comprehensive programs. It depends on the depth and breadth of the course content.

While both fields involve working with data, data science focuses on extracting insights, building predictive models, and developing algorithms, whereas data analytics primarily focuses on exploring and interpreting data to support decision-making.

Consider factors such as your current skill level, career goals, course content, instructor expertise, hands-on exercises or projects, and student reviews. Research different course options to find the one that aligns with your learning objectives and interests.