Certified Data Science with Python
2-3 Months
Duration
90+
Modules
5+ Live
Project
1:1
Mentorship
100% Job
Assistance
Placement Assistance Process
Program Features
- 7 Hands on Courses
- 120+ Hrs of applied learning
- Doubt Clearance Support
- 8 PDUs Offered
- 5 Real Life Projects
- 1 Capston Project
- 1:1 Mentorship Sessions
- 12 Practice Quiz Set
- 3 Simulation Test Paper
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Data Science Courses Highlights
40+ Hrs of online classes on weekends or video based learning with support
Hands-on training with 70% practical content
5 Real Life Projects + 1 Capston Projects
24x7 lifetime access to online videos and content
Top class faculty from premier companies like EY, Fractal, Accenture etc.
Get industry recognised certificate with 100% job assistance
Our Students are Placed in
Data Science Course Pre-Requistes
- Learners need to possess an undergraduate degree or a high school diploma
- Not mandatory to have a maths or programming background. However comfort with learning maths and programming will be required.
Data Science Course Curriculum
Advanced Excel
Excel is a spreadsheet program from Microsoft and a component of its Office product group for business applications. Microsoft Excel enables users to format, organize and calculate data in a spreadsheet. Its features calculation or computation capabilities, graphing tools, pivot tables, and Visualization
Power BI
Microsoft Power BI is a business intelligence platform that provides nontechnical business users with tools for aggregating, analyzing, visualizing and sharing data. In our course we have covered all aspects of powerbi necessary to clear data analyst interviews with different case studies to showcase in your resume.
Tableau
Tableau is a software that offers collaborative data visualization for organizations working with business information analytics. In this course we have covered tableau from basics to advance which will help any individual to clear data analyst interviews.
SQL Developer
SQL is the most underrated skill of a Data Scientist. It is used to pull required data pints from the complex database of clients. You need to write long queries using joins to get the relevant data points.
Python for Data Science
Python is the backbone of Data Science. It is most widely used language for DS. It’s very easy to learn compared to other languages and non tech people can also learn it. You need not become an expert in it. You should mainly know how to manipulate data using it.
Statistics & Analytics
Statistics is what makes Data Science unique. Lots of Data Science problems are solved using statistics tests. Also understanding the dataset is done using statistics. It is very important for interviews.
Machine Learning
Machine learning is core of Data Science. These are mathematical algorithms which try to find patterns and relationships in the input and output of the given dataset. You need to know the inner workings of the algorithms and also how to do hyper parameter tuning.
Skills Covered
Creating And Managing Analytics
Data Import and Export
Data Partitioning
Data Structure
Indexing and Slicing of Arrays
Programming Constructs
Job Roles
Data Analyst
Data and Analytics Manager
Data Engineers
Data Scientist
Data Architect
Statistician
Our Data Science Faculty Profiles
Aishwarya is Data Management Consultant at Deloitte India and has a total of 6+ years of experience in analytics. She is an expert on Data Analytics · Python (Programming Language) · Data Mining · Databases · SQL Azure · Azure Data Factory · Azure Databricks · ETL Tools, big query · Analytics. She has worked extensively in the Analytics & Strategy domains. Her rich experience ranges from Big Data technology to address product problems in a variety of sectors while adhering to the Agile/Scrum approach. She also has a lot of training experience. Aishwarya has completed her B.tech from NIT Silcher.
Rishabh is an Senior Data Analyst at MPL and has a total of 5+ years of experience in analytics. He is an expert on predictive analytics, machine learning, Predictive modeling, Python, Text Mining & NLP. He has worked extensively in the Marketing analytics & Supply chain analytics domains. His rich experience ranges from how to consume statistics in everyday's life to data analysis for decision-making through to advanced modern statistical learning techniques, and statistical computing and data visualization. He also has a lot of training experience. Rishab has completed his Masters from BML Munjal University.
Data Science Certification by KOED
On your successful completion of the Data Science with Python training, KOED Learning will provide you with an industry-recognized & Hall marked course completion certificate which will have a lifelong validity.
Attend 75% online training of Data Science with Python.
Submit at least one completed project.
Qualify any of the three simulation test with a minimum of 60% Score.
Yes, we provide 3 Practice test as part of our Data Science with Python course to help you prepare for the actual certification exam. You can try the Data Science with Python Practice Test to understand the type of tests that are part of the course curriculum.
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