Python For Data Science Course

Python for Data Science course offers comprehensive training in data manipulation, analysis, and visualization techniques.

India's highest-ranked Data Science Programme elevates your skills by mastering 20+ tools, offers a WES recognized degree, paralleling a 1-year Canadian PG Diploma, setting you as a global data professional.

Discover the Power of Python for Data Science

Elysium Academy has carved out its niche as a forerunner in the Data Science domain, providing an all-encompassing product that ensures participants harness, interpret and utilize data in ways never before imagined. Their innovative approach towards Data Science endows participants with the capability to unearth hidden patterns and decipher the language of data. More importantly, it acts as a catalyst propelling strategic decision-making. At Elysium, Python For Data Science, a groundbreaking course, serves as the cornerstone in this mission, enabling learners to skillfully navigate and manipulate data using Python, one of the most respected programming languages in the Data Science community. Through Elysium Academy's rigorous and robust courses, participants don't just learn about Data Science; they become proficient contributors shaping its future landscape.

Our Highlights

Course Content

  • Tailor made for your need.
  • Derived from best practices.
  • Recognized by governing bodies.
  • You suggest, we train.

24X7 Support

  • Trainer is one call away.
  • Personalized coordinator.
  • Trainer feedback for each employee.
  • Trainer availability post sessions.

Certifications

  • Get your staff certified.
  • Certificate from governing bodies.
  • Recognized worldwide
  • Showcase in company portfolio.

Practical Training

  • Fine mix of theory and practical.
  • Real life examples.
  • Real life projects.
  • Hands on with projects.

What roles can a person trained in data science and artificial intelligence play?

Senior Data Scientist

Understanding problems and building models based on the data collected and leading a team of data scientists.

AI Expert

Developing strategies for frameworks and technologies to develop AI solutions and drive business success.

Machine Learning Expert

Using various machine learning tools and technologies, building statistical models with large amounts of business data.

Big Data Specialist

Creating & managing pluggable service-based frameworks that can be customized for importing, cleansing & validating data.

Applied Scientist

Designing and building machine learning models to derive information for the many services and products offered by an organization.

This is the title

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Robotics engineer

Designing and building machine learning models to derive information for the many services and products offered by an organization.

BI Developer

Designing and building machine learning models to derive information for the many services and products offered by an organization.

Neural network developer

Designing and building machine learning models to derive information for the many services and products offered by an organization.

Cloud engineer

Secure a guaranteed job referral to leading companies and startups, and kickstart your career in data science, AI Machine Learning & Deep Learning.

133+

Courses

50+

Countries

3000+

Placed Students

100%

Placement Assistance

Data Science Certification Course Learning Path

Chapter 1: Getting Started
      1. Introduction to Data Science
       a. Data Science
       b. Data Science vs. Data  Scientist
       c. Future scope of data scientist
       d. How to link python with DS
      2. Basic Terminologies of DS
       a. Data Mining
       b. Data Sets
       c. Python packages
       d. Data Collections
       e. Data Preprocessing
      3. Installation of packages
       a. Pandas
       b. Numpy
       c. Scipy
       d. Sckit
       e. NLTK
Chapter 2: Data Collection and Preprocessing
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Chapter 3: Visualizations
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Chapter 4: Machine Learning
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Chapter 5: Algorithms
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Chapter 6: Evaluation Metrics
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Chapter 7: Hypertunning Model and Clustering
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Chapter 8: NLP and Recommendation System
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Chapter 9: Deep Learning
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Chapter 10: Projects
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Data Science Certification Course Learning Path

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                    1. Introduction to Data Science
                                        a. Data Science
                                        b. Data Science vs. Data  Scientist
                                        c. Future scope of data scientist
                                        d. How to link python with DS.
                    2. Basic Terminologies of DS
                                        a. Data Mining
                                        b. Data Sets
                                        c. Python packages
                                        d. Data Collections
                                        e. Data Preprocessing
                    3. Installation of packages
                                        a. Pandas
                                        b. Numpy
                                        c. Scipy

                    1. Introduction to Data Science
                                        a. Data Science
                                        b. Data Science vs. Data  Scientist
                                        c. Future scope of data scientist
                                        d. How to link python with DS.
                    2. Basic Terminologies of DS
                                        a. Data Mining
                                        b. Data Sets
                                        c. Python packages
                                        d. Data Collections
                                        e. Data Preprocessing
                    3. Installation of packages
                                        a. Pandas
                                        b. Numpy
                                        c. Scipy

                    1. Introduction to Data Science
                                        a. Data Science
                                        b. Data Science vs. Data  Scientist
                                        c. Future scope of data scientist
                                        d. How to link python with DS.
                    2. Basic Terminologies of DS
                                        a. Data Mining
                                        b. Data Sets
                                        c. Python packages
                                        d. Data Collections
                                        e. Data Preprocessing
                    3. Installation of packages
                                        a. Pandas
                                        b. Numpy
                                        c. Scipy

                    1. Introduction to Data Science
                                        a. Data Science
                                        b. Data Science vs. Data  Scientist
                                        c. Future scope of data scientist
                                        d. How to link python with DS.
                    2. Basic Terminologies of DS
                                        a. Data Mining
                                        b. Data Sets
                                        c. Python packages
                                        d. Data Collections
                                        e. Data Preprocessing
                    3. Installation of packages
                                        a. Pandas
                                        b. Numpy
                                        c. Scipy

                    1. Introduction to Data Science
                                        a. Data Science
                                        b. Data Science vs. Data  Scientist
                                        c. Future scope of data scientist
                                        d. How to link python with DS.
                    2. Basic Terminologies of DS
                                        a. Data Mining
                                        b. Data Sets
                                        c. Python packages
                                        d. Data Collections
                                        e. Data Preprocessing
                    3. Installation of packages
                                        a. Pandas
                                        b. Numpy
                                        c. Scipy

                    1. Introduction to Data Science
                                        a. Data Science
                                        b. Data Science vs. Data  Scientist
                                        c. Future scope of data scientist
                                        d. How to link python with DS.
                    2. Basic Terminologies of DS
                                        a. Data Mining
                                        b. Data Sets
                                        c. Python packages
                                        d. Data Collections
                                        e. Data Preprocessing
                    3. Installation of packages
                                        a. Pandas
                                        b. Numpy
                                        c. Scipy

                    1. Introduction to Data Science
                                        a. Data Science
                                        b. Data Science vs. Data  Scientist
                                        c. Future scope of data scientist
                                        d. How to link python with DS.
                    2. Basic Terminologies of DS
                                        a. Data Mining
                                        b. Data Sets
                                        c. Python packages
                                        d. Data Collections
                                        e. Data Preprocessing
                    3. Installation of packages
                                        a. Pandas
                                        b. Numpy
                                        c. Scipy

                    1. Introduction to Data Science
                                        a. Data Science
                                        b. Data Science vs. Data  Scientist
                                        c. Future scope of data scientist
                                        d. How to link python with DS.
                    2. Basic Terminologies of DS
                                        a. Data Mining
                                        b. Data Sets
                                        c. Python packages
                                        d. Data Collections
                                        e. Data Preprocessing
                    3. Installation of packages
                                        a. Pandas
                                        b. Numpy
                                        c. Scipy

                    1. Introduction to Data Science
                                        a. Data Science
                                        b. Data Science vs. Data  Scientist
                                        c. Future scope of data scientist
                                        d. How to link python with DS.
                    2. Basic Terminologies of DS
                                        a. Data Mining
                                        b. Data Sets
                                        c. Python packages
                                        d. Data Collections
                                        e. Data Preprocessing
                    3. Installation of packages
                                        a. Pandas
                                        b. Numpy
                                        c. Scipy

                    1. Introduction to Data Science
                                        a. Data Science
                                        b. Data Science vs. Data  Scientist
                                        c. Future scope of data scientist
                                        d. How to link python with DS.
                    2. Basic Terminologies of DS
                                        a. Data Mining
                                        b. Data Sets
                                        c. Python packages
                                        d. Data Collections
                                        e. Data Preprocessing
                    3. Installation of packages
                                        a. Pandas
                                        b. Numpy
                                        c. Scipy

Python Data Science

 

Course

Data Science

Criteria for Eligibility
Necessary Pre-Requisites: Graduation
 
Length of Time Period
3 - 6 months
Affordable Fee
₹30,000
Course Category
Certification course
Advanced Studies
Machine Learning Algorithms, Data Analysis, Data Visualization, Python Programming
Professional Opportunities
Data Analyst, Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, Data Engineer, AI Specialist, Predictive Modeller, Quantitative Analyst

Tools Covered

Our Career Services

Placement Assistance - Job referrals start after the completion of a course, with career services professionals offering guidance and support to students as they prepare to enter Data Science & AI domain.
Exclusive access to Intellipaat Job portal - Job Assistance program for our candidates being regular with classes. Get noticed & referred by our 150+ hiring partners for the profile of Data Scientist, Machine Learning Engineer, Data Analytics, MLOps as well as Business Analytics.
Learn Data Science, AI & ML with Case Studies & Projects - Learn Full Stack AI & Data Scienece topics with 30+ real projects with datasets. Designed & Implement Models, Deploy in the Prod Environment. Make your profile storng in Data Science & AI Field
Mock Interviews & Mentorship 1 to 1 Sessions Job portal - Attend 1 to 1 Classes with the mentor during mentorship program. Make your progress in the right direction under guidance of mentor having 5+ years experience in DS, AI & ML Domain. Check your progress with mock interviews 1 to 1 Online Session , experience the actual interview environment.
Resume Preparation - After completion of the course , we need to prepare candidate resume before applying for IT Data Scientist as well as Data analytics profile" rephrase. Attend 1 to 1 session with mentor for resume preparation discussion.
Linkedin Profile Update - For every candidate profile will be updated in Linkedin Portal. Linked is considered to be the major Hub for hiring Data Scientist as well as ML engineer.
Career counsellors provide guidance and support to individuals as they navigate their career choices. They help individuals understand their strengths, weaknesses, abilities, skills, and aptitudes, which in turn helps them choose the right career path
Career counsellors possess expertise and knowledge about various industries, job markets, and educational pathways. They stay updated with the latest trends and can provide valuable insights and advice to individuals seeking career guidance

Job Assistance

Placement Assistance - Job referrals start after the completion of a course, with career services professionals offering guidance and support to students as they prepare to enter Data Science & AI domain.
Exclusive access to Intellipaat Job portal - Job Assistance program for our candidates being regular with classes. Get noticed & referred by our 150+ hiring partners for the profile of Data Scientist, Machine Learning Engineer, Data Analytics, MLOps as well as Business Analytics.

Interview Preparation

Learn Data Science, AI & ML with Case Studies & Projects - Learn Full Stack AI & Data Scienece topics with 30+ real projects with datasets. Designed & Implement Models, Deploy in the Prod Environment. Make your profile storng in Data Science & AI Field
Mock Interviews & Mentorship 1 to 1 Sessions Job portal - Attend 1 to 1 Classes with the mentor during mentorship program. Make your progress in the right direction under guidance of mentor having 5+ years experience in DS, AI & ML Domain. Check your progress with mock interviews 1 to 1 Online Session , experience the actual interview environment.

Profile Building

Resume Preparation - After completion of the course , we need to prepare candidate resume before applying for IT Data Scientist as well as Data analytics profile" rephrase. Attend 1 to 1 session with mentor for resume preparation discussion.
Linkedin Profile Update - For every candidate profile will be updated in Linkedin Portal. Linked is considered to be the major Hub for hiring Data Scientist as well as ML engineer.

Frequently Asked Question

About The Data Science Course Developed in Collaboration with IBM
This Data Science course, in collaboration with IBM, accelerates your career in Data Science and provides you with the world-class training and skills required to become successful in this field. This course offers extensive training on the most in-demand Data Science and Machine Learning skills with hands-on exposure to key tools and technologies, including Python, R, Tableau, and concepts of Machine Learning. Become a Data Scientist by diving deep into the nuances of data interpretation, mastering technologies like Machine Learning, and mastering powerful programming skills to take your career in Data Science to the next level. This joint partnership between Simplilearn and IBM introduces students to an integrated blended learning approach, making them experts in data science. This Data Science course, in collaboration with IBM, will help students become industry-ready for top data scientist job roles. Simplilearn’s Data Science course is ranked as the best online program by Career Karma.
About The Data Science Course Developed in Collaboration with IBM
This Data Science course, in collaboration with IBM, accelerates your career in Data Science and provides you with the world-class training and skills required to become successful in this field. This course offers extensive training on the most in-demand Data Science and Machine Learning skills with hands-on exposure to key tools and technologies, including Python, R, Tableau, and concepts of Machine Learning. Become a Data Scientist by diving deep into the nuances of data interpretation, mastering technologies like Machine Learning, and mastering powerful programming skills to take your career in Data Science to the next level. This joint partnership between Simplilearn and IBM introduces students to an integrated blended learning approach, making them experts in data science. This Data Science course, in collaboration with IBM, will help students become industry-ready for top data scientist job roles. Simplilearn’s Data Science course is ranked as the best online program by Career Karma.
What Is Data Science?
Data science is a broad field that involves dealing with large volumes of data to uncover hidden trends and patterns and extract valuable information that aids in better decision-making. Companies that collect massive amounts of data use various data science tools and techniques to build predictive models. Simplilearn’s Data Science training can help you learn all its concepts from scratch.
What is Data Science Course?
In a Data Science course, you will learn about many concepts if you are a beginner or an intermediate. This training program is around six to twelve months, often taken by industry experts to help candidates build a strong foundation in the field. Besides the theoretical material, our Data Science course includes virtual labs, industry projects, interactive quizzes, and practice tests, giving you an enhanced learning experience.
What is Data Scientist?
A Data Scientist is an individual who gathers, cleans, analyzes, and visualizes large datasets to draw meaningful conclusions and communicate them to business leaders. The data is collected from various sources, processed into a format suitable for analysis, and fed into an analytics system where statistical analysis is performed to gain actionable insights.
How do I Become Data Scientist?
These Data Science courses, co-developed with IBM, will give you an insight into Data Science tools and methodologies, which is enough to prepare you to excel in your next role as a Data Scientist. This Data Science training will teach you R, Python, Machine Learning techniques, data reprocessing, regression, clustering, data analytics with SAS, data visualization with Tableau, and an overview of the Hadoop ecosystem. You will earn an industry-recognized certificate from IBM and Simplilearn that will attest to your new skills and on-the-job expertise.

    Interested in This Course? Secure your spot now.

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    Frequently Asked Questions

    There are no specific prerequisites for enrolling in the Python course for data science. However, a basic understanding of programming concepts and mathematics would be beneficial.

    Yes, upon successful completion of the course, you will receive a certificate from Elysium Academy, which can be a valuable addition to your resume.

    Yes, upon successful completion of the course, you will receive a certificate from Elysium Academy, which can be a valuable addition to your resume.

    You can enroll in the course by visiting Elysium Academy's website and following the enrollment process outlined for the Python course for data science.