Learning path in Data Science

BY
Board Infinity via FutureSkills

Gain a better understanding of the basic as well as advanced concepts of data science to become competent data specialists.

Mode

Online

Duration

200 Hours

Fees

₹ 84745

Inclusive of GST

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based

Course overview

The Learning path in Data Science certification course is one among the lengthiest computer science courses available in the country, and it has expanded with the growing computer science industry.  The Learning path in Data Science online course by FutureSkills Prime is intended for candidates who want to enhance their knowledge and skills in data science activities.

Learning path in Data Science online classes contain 200 hours of video-based training led by an expert data scientist who teaches about machine learning, data visualization, and several technologies that allow candidates to work on their data science project, including Python, Jupyter, Anaconda, Numpy, Matplotlib, Seaborn, Tableau, Excel, Power BI, MySQL, and many others. Candidates will also receive two certificates of completion from the Board infinity and FutureSkills Prime upon satisfactory completion of this course.

The highlights

  • Certificate of completion by Board Infinity
  • Co-branded certificate by FutureSkills Prime & Board Infinity
  • Virtual instructor-led training
  • Mentoring by industry experts
  • 200 hours effort
  • Lifetime access

Program offerings

  • Certificate of completion by board infinity
  • Co-branded certificate
  • Virtual instructor-led training
  • One-on-one mentoring
  • Projects
  • Assignments
  • Discussion forum
  • Placement training
  • Placement opportunity
  • Accessible on mobile devices

Course and certificate fees

Fees information
₹ 84,745  (Inclusive of GST)

Learning path in Data Science Fees Structure

CourseAmount
Learning path in Data Science
Rs 84,745  
certificate availability

Yes

certificate providing authority

FutureSkills +1 more

What you will learn

Data science knowledge Knowledge of python Knowledge of numpy Knowledge of excel Sql knowledge Tableau knowledge Knowledge of scikit-learn Business analytics knowledge Knowledge of data visualization Machine learning

After completing the Learning path in Data Science online certification, candidates will be introduced to both basic and advanced data science principles. Candidates will learn how to use technologies and programs such as Python, Anaconda, Jupyter, Numpy, Seaborn, Matplotlib, Excel, MySQL, Tableau, and Power BI to perform data science operations. Candidates will also learn about machine learning concepts, data visualization, and business analytics.

The syllabus

Business Analytics with Microsoft Excel

  • Introduction to Excel
  • Excel Formulas and Functions
  • Excel Pivot Tables
  • Excel Visualization
  • Excel Dashboarding
  • VBA and Macros

Data Visualisation using Tableau

  • Data Visualization Fundamentals
  • Introduction to Tableau
  • Managing, Organizing and Enhancing Data in Tableau
  • Interactive Graphing and Charts
  • Excel Dashboarding
  • Storytelling and Dashboarding in Tableau

Advance SQL

  • Introduction to Databases
  • Basics of SQL
  • Filtering Data using SQL
  • Functions in Database
  • Displaying Data from Multiple tables
  • Grouping Data and Computing Aggregates
  • Subqueries and Nested queries in SQL

Maths for Data Science

  • Fundamental of Statistics and its types
  • Fundamentals of Probability
  • Hypothesis Testing
  • Analysis of Variance and Covariance

Python Programming for Data Science

  • Python Fundamentals
  • Python Conditionals and Loops
  • Basic Operation and Operator in Python
  • Python Functions and Classes
  • Data Wrangling using NumPy
  • Data Wrangling using Pandas
  • Python for Visualization: Matplotlib & Seaborn

Deep Dive into Machine Learning

  • Introduction to Machine Learning
  • Types of Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Introduction to Natural Language Processing
  • Building ML Models by using various Techniques
  • Python for Visualization: Matplotlib & Seaborn

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